CRM migration
Field-level mapping, validation, and rollback between Fireberry and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Fireberry
Source
monday CRM
Destination
Compatibility
6 of 8
objects map 1:1 between Fireberry and monday CRM.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Fireberry and Monday.com CRM share a flexible, modular architecture philosophy, but they differ fundamentally in how they represent CRM data. Fireberry uses standard CRM objects (Contacts, Companies, Deals, Pipelines, Activities) in a relational schema, while Monday.com CRM represents all records as Items inside Boards with Columns replacing typed fields. This means a Fireberry Deal with stage, probability, and expected close date maps to a Monday.com Item with a Status column and custom date/number columns rather than a native opportunity record. We extract the full Fireberry schema including any custom Components, map each object to its Monday.com equivalent, sequence parent-record imports to satisfy dependencies, preserve deal stage and pipeline context, and flag every automation rule that requires a manual rebuild in Monday.com's builder. Reports and dashboards do not migrate as definitions; we deliver the data so the customer can reconstruct them.
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 Fireberry 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.
Fireberry
Contact
monday CRM
People Item
1:1Fireberry Contact records (name, email, phone, address, owner assignment, lifecycle stage) map 1:1 to Monday.com CRM People items in the People board. Monday.com's People board stores contact fields as native properties. We map contact owner assignment to a Person column on the item and preserve lifecycle stage as a Status or Dropdown column. The email address serves as the dedupe key during import.
Fireberry
Company
monday CRM
Organization Item
1:1Fireberry Company records (business name, industry, size, address, domain) map to Monday.com CRM Organization items in the Organizations board. Organization items are linked to Person items (Contacts) to preserve the company-contact relationship. The domain field maps to a Text column for web reference.
Fireberry
Deal
monday CRM
Item in Deals CRM Board
1:1Fireberry Deal records (amount, stage, probability, expected close date, pipeline, linked Company and Contact) map to Items in Monday.com CRM's Deals board using the Deals CRM view. Deal amount maps to a Number column, probability to a Numbers column or Percentage column, expected close date to a Date column, and stage to the Status column that drives the Deals CRM view. We resolve the linked Company and Contact references by matching Organization and Person items already imported. Closed-Lost and Closed-Won outcomes are preserved as status values.
Fireberry
Pipeline and Pipeline Stage
monday CRM
Board plus Status column values
lossyFireberry pipelines with their stage order and probability percentages require reconstruction in Monday.com CRM because there is no native multi-pipeline object. Each Fireberry pipeline becomes its own board (or a separate group within a single Deals board) with a Status column whose values match the Fireberry stage names. Stage probability values are stored as a Percentage column on each deal item for reference. If Fireberry has multiple pipelines, we create multiple boards in Monday.com, one per pipeline, with consistent column schemas across boards.
Fireberry
Activity (Calls, Emails, Meetings, Tasks)
monday CRM
Item Update
1:1Fireberry activity records (calls, emails, meetings, tasks with timestamps and owner IDs) map to Monday.com Item Updates, which are chronological entries on an item's feed. We preserve the activity type in the Update body and set the timestamp from the original Fireberry record. Monday.com does not have a typed activity object equivalent to HubSpot's engagements, so the type-label and duration information is preserved as text within each Update rather than as structured fields. Activity linking to the correct Contact or Organization item is resolved through owner email matching during import.
Fireberry
Custom Object
monday CRM
Custom Object
1:1Fireberry user-defined Components that extend standard objects with custom fields map to Monday.com Custom Objects using the Dynamic mapping type, which allows a custom object to contain a set of subfields mapped onto an item. We enumerate every Fireberry custom object and its fields during schema discovery and create the equivalent Custom Object schema in Monday.com before import. Any multi-level lookup relationships in Fireberry custom objects are reviewed for manual mapping because Monday.com Custom Objects support flat subfield structures more naturally than deep hierarchies.
Fireberry
Workflow and Automation
monday CRM
Documented automation definition
lossyFireberry automation rules are stored as trigger-action configuration that cannot be exported as reusable definitions and replayed at the destination. We capture each workflow's trigger type, conditions, and actions as a structured text record during migration scoping and deliver a written inventory of every active automation with its equivalent Monday.com automation builder syntax. The customer reviews the translated rules and rebuilds them manually in Monday.com's automation builder, which uses a When-If-Then-Do block structure. Fireberry automations that use URL-call triggers may require a third-party middleware review because Monday.com's native automation triggers operate within the board context.
Fireberry
Reports and Dashboards
monday CRM
Data only (no report definitions)
1:1Fireberry reporting views and dashboard configurations are not exportable as reusable definitions because the reporting schema is tied to Fireberry's internal object model. We migrate the underlying data (Contacts, Companies, Deals, Activities) so that Monday.com's dashboard widgets can be configured from scratch against the imported data. The customer rebuilds reports as board-level or dashboard-level widgets in Monday.com after migration. We do not include report migration in the standard scope.
| Fireberry | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | People Item1:1 | Fully supported | |
| Company | Organization Item1:1 | Fully supported | |
| Deal | Item in Deals CRM Board1:1 | Fully supported | |
| Pipeline and Pipeline Stage | Board plus Status column valueslossy | Fully supported | |
| Activity (Calls, Emails, Meetings, Tasks) | Item Update1:1 | Fully supported | |
| Custom Object | Custom Object1:1 | Fully supported | |
| Workflow and Automation | Documented automation definitionlossy | Fully supported | |
| Reports and Dashboards | Data only (no report definitions)1:1 | Not 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.
Fireberry gotchas
Free plan caps at 3 Projects and 100+ Components
Custom Objects and Components require explicit schema discovery
Workflow automations do not export as reusable definitions
Billing cycle determines the migration window
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
Discovery and scope document
We audit the source Fireberry instance by enumerating all active objects, custom fields, pipeline definitions, stage order, owner assignments, and engagement volume. We capture every active workflow and automation rule as structured documentation. We assess data quality (duplicate contacts, incomplete records, inconsistent formats) and flag any records that fall outside the free-tier component cap. The discovery output is a written migration scope document listing every object, field, and automation to be migrated, with a record-count baseline for post-migration reconciliation.
Data extraction and schema enumeration
We pull all data from Fireberry using whatever export mechanism the customer's instance exposes, augmented by direct schema discovery against the live instance to enumerate custom Components not surfaced in a basic export. We resolve any free-tier export limitations by confirming the customer's plan tier before extraction. The extracted data is staged in a structured intermediate format with source object names, field names, and record IDs preserved for mapping.
Monday.com workspace design
We design the Monday.com CRM workspace structure: a People board for Contacts, an Organizations board for Companies, and a Deals board (with Status columns representing pipeline stages) for Deals. For each Fireberry custom object, we create a corresponding Monday.com Custom Object with subfields matching the Fireberry field schema. We define column types (Text, Number, Date, Dropdown, Percentage, Status) to match the destination field requirements and set up automation rules documented during discovery in a configuration file for the customer to import post-migration.
Test migration and reconciliation
We run a test migration into a staging Monday.com workspace using production-equivalent data volume. We reconcile record counts (Contacts in, Organizations in, Deals in, Custom Objects in), spot-check 25-50 records against the Fireberry source, and validate that pipeline stage values and owner assignments are correct in the destination. The customer reviews the test results and approves the mapping before production migration begins. Any field-type corrections or relationship resolution gaps are addressed here, not in production.
Production migration in dependency order
We run production migration in record-dependency order: Organizations first (as the parent for linked records), then People (with Organization links resolved), then Deals (with Organization and Person links resolved and Status values matching the pipeline stage column), then Custom Objects (with lookups to standard objects satisfied where possible), then Activity records as Item Updates. Each phase emits a row-count reconciliation report before the next phase begins. We freeze writes in Fireberry during the cutover window to prevent drift between staging and production.
Cutover, validation, and automation rebuild handoff
We run a final delta migration of any records modified during the cutover window, then enable Monday.com as the system of record. We deliver the automation inventory document with Monday.com automation builder equivalents for the customer's admin to review and activate. We include a reporting reconstruction guide mapping Fireberry report definitions to Monday.com dashboard widget configurations. We support a three-day hypercare window for data issues that surface after cutover. We do not rebuild Fireberry automations as Monday.com automations inside the migration scope; that is a manual rebuild task covered by the delivered inventory document.
Platform deep dives
Fireberry
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Fireberry and monday CRM.
Object compatibility
1 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
Fireberry: Not publicly documented.
Data volume sensitivity
Fireberry 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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FAQ
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