CRM migration
Field-level mapping, validation, and rollback between Brokerkit and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Brokerkit
Source
monday CRM
Destination
Compatibility
11 of 12
objects map 1:1 between Brokerkit and monday CRM.
Complexity
BStandard
Timeline
48–72 hours
Overview
Brokerkit is built around a real estate brokerage data model: agent contacts with recruiting status, transaction deals tied to listings or closings, team hierarchies for offices, and campaign tracking for outreach. It stores relationships as first-class objects with status fields like recruiting stage and transaction stage. monday CRM re-implements this as Contacts, Deals (items on boards), and Activities, using its Work OS board infrastructure as the pipeline engine. The two platforms diverge most significantly on deal pipelines (Brokerkit uses a simple stage field; monday CRM uses board groups as pipeline stages) and on agent-specific fields like recruiting stage and license type, which require custom fields in monday CRM. We extract Brokerkit data via their API, map agent records to monday CRM Contacts, map transaction deals to Deal items on a CRM board, and create custom fields for Brokerkit-specific properties like recruiting source and license state. Activity history (calls, emails, notes) migrates as monday CRM Activities. Automations, templates, and sequences do not transfer — we export Brokerkit automation definitions as JSON for your monday CRM admin to rebuild using monday's automation builder. The migration runs against monday's REST API with rate-limit awareness, and a 24–48 hour delta window captures any records modified during cutover.
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 Brokerkit 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.
Brokerkit
Agent
monday CRM
Contact
1:1Brokerkit agent records map directly to monday CRM Contacts. The agent's name, email, phone, and address fields translate to monday CRM's standard Contact fields. Primary team assignment maps to a Team__c custom column. License number and license state map to custom columns.
Brokerkit
Agent (recruiting_stage in [New Lead, Contacted, Interview, Onboarded])
monday CRM
Contact with Status__c custom field
1:1Brokerkit's recruiting stage values (New Lead, Contacted, Interview, Onboarded, Inactive) map to a monday CRM custom pick-list column called Recruiting_Stage__c. The mapping preserves the exact string value so historical recruiting pipelines can be rebuilt in monday CRM boards. The column must be set as a drop‑down type, and each option is added before the migration to prevent import mismatches.
Brokerkit
Deal
monday CRM
Deal item on CRM Board
1:1Brokerkit transaction deals map to monday CRM Deal items on a dedicated CRM board. Each deal item's name, amount, stage, and close date become standard columns on the board. Board groups correspond to pipeline stages. The stage value routes each deal into its matching board group so the pipeline reflects the status on day one. Owner email addresses are matched to monday CRM users, with any mismatches recorded for correction.
Brokerkit
Deal Stage
monday CRM
Board Group
1:1Brokerkit deal stages ('Active', 'Under Contract', 'Inspection', 'Closed') become monday CRM board groups. We create one group per unique stage value found in Brokerkit. Deals are then distributed into groups by their stage value during migration so the board reflects the pipeline immediately after go-live.
Brokerkit
Team
monday CRM
Team__c custom column on Contact
1:1Brokerkit's team hierarchy (offices and sub-teams) has no direct equivalent in monday CRM. We map each team to a custom Team__c text column on Contact records. For brokerages that need a visual team board, we can also create a separate Teams board and use an Item column to link agents to their team.
Brokerkit
Campaign
monday CRM
Board (recruiting or marketing board)
1:1Brokerkit campaigns map to monday CRM boards. Each campaign becomes a board, with recruiting outreach items as rows. Status columns on the monday CRM board replicate campaign status tracking from Brokerkit. Board groups can represent campaign phases, and each outreach item retains its original status for reporting.
Brokerkit
Campaign Member
monday CRM
Activity (connected to Contact)
many:1Brokerkit tracks which agents received campaign outreach. This many-to-one relationship (many agents per campaign) maps to monday CRM Activities logged against each Contact record, with the campaign name stored in the activity description. Each activity entry records the outreach type, timestamp, and the agent's response status if available. This preserves the full campaign engagement history in monday CRM, enabling you to filter activities by campaign name using the description field.
Brokerkit
Activity (Call, Email, Note, Meeting)
monday CRM
Activity (Activity Log)
1:1Brokerkit call logs, emails, notes, and meeting records migrate to monday CRM Activities. Original timestamps, owner email, and the activity body text are preserved. Each activity links to the corresponding Contact record via the contact's email address. Activity type is stored in a custom Activity_Type__c column for filtering. Call duration is recorded in Duration_min__c. The original Brokerkit ID is kept in Source_System_ID__c.
Brokerkit
Custom Property (Agent)
monday CRM
Custom Column on Contact
1:1Brokerkit custom agent properties (e.g., 'Referral Source', 'MSA', 'Broker of Record Date') map to monday CRM custom columns. Column type is inferred from the property data type: text properties become text columns, dates become date columns, and pick-lists become drop-down columns.
Brokerkit
Custom Property (Deal)
monday CRM
Custom Column on Deal item
1:1Brokerkit deal-level custom properties (e.g., 'Property Type', 'Listing Agent', 'Commission Split') map to custom columns on Deal items in the CRM board. We preserve the property type so monday CRM's column validation does not reject the values during import. Each property data type dictates column: text fields become text columns, dates become date columns, and pick‑list values become drop‑down columns. Drop‑down options are created before migration to avoid import errors.
Brokerkit
Attachment / File
monday CRM
monday CRM Files (uploaded to item)
1:1Brokerkit files attached to agents or deals re-upload to monday CRM as item attachments. File name and original upload date are preserved. Large files (>25MB) are flagged for manual upload since monday CRM has a 25MB per-file limit. Files under the limit are uploaded automatically; larger ones are flagged for manual handling.
Brokerkit
Automation / Sequence
monday CRM
Exported JSON (manual rebuild required)
1:1Brokerkit recruiting sequences and deal alert automations do not have a direct equivalent in monday CRM. We export the automation definitions as a structured JSON file listing each trigger, condition, and action. Your monday CRM admin uses this as a rebuild reference in monday's automation builder.
| Brokerkit | monday CRM | Compatibility | |
|---|---|---|---|
| Agent | Contact1:1 | Fully supported | |
| Agent (recruiting_stage in [New Lead, Contacted, Interview, Onboarded]) | Contact with Status__c custom field1:1 | Fully supported | |
| Deal | Deal item on CRM Board1:1 | Fully supported | |
| Deal Stage | Board Group1:1 | Fully supported | |
| Team | Team__c custom column on Contact1:1 | Fully supported | |
| Campaign | Board (recruiting or marketing board)1:1 | Fully supported | |
| Campaign Member | Activity (connected to Contact)many:1 | Fully supported | |
| Activity (Call, Email, Note, Meeting) | Activity (Activity Log)1:1 | Fully supported | |
| Custom Property (Agent) | Custom Column on Contact1:1 | Fully supported | |
| Custom Property (Deal) | Custom Column on Deal item1:1 | Fully supported | |
| Attachment / File | monday CRM Files (uploaded to item)1:1 | Fully supported | |
| Automation / Sequence | Exported JSON (manual rebuild required)1:1 | 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.
Brokerkit gotchas
CSV exports truncate long text fields
No public API means migration tooling is limited
Plan tier limits restrict what data exists
Integration connections do not transfer on migration
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
Extract Brokerkit data via API with pagination
We connect to Brokerkit's REST API using your API credentials and extract all agents, deals, teams, campaigns, activities, and custom property definitions in paginated batches. We pull records in dependency order: teams first (since agent.team references them), then agents, then deals (since deal.listing_agent references agents), then activities. Each batch is validated for field completeness before the extraction proceeds. If the API rate limits during extraction, we pause and retry with exponential backoff to avoid throttling.
Create monday CRM custom columns before migration
Before any data lands in monday CRM, we create all required custom columns on the Contacts board and the Deals CRM board. This includes text columns for license_number, license_state, recruiting_source, and team_name, plus drop-down columns for recruiting_stage and deal_type. We also create the board groups that correspond to Brokerkit deal stages. This step runs in monday CRM's UI via API calls and is validated by querying the board schema immediately after creation.
Load agents and deals with field-level mapping
We load agents into monday CRM Contacts using the field mapping table, applying value mappings for recruiting_stage and transforming team references to the Team__c custom column. Deals are loaded as items on the Deals board, with stage values routing each item into the appropriate board group. Owner email addresses are resolved against monday CRM user accounts — unmatched owners are logged to a mismatch report for your team to resolve before the full run commits.
Run a sample migration of 100–500 records with field-level diff
A representative slice of agents, deals, and activities migrates first. We generate a field-level diff comparing source Brokerkit values against the destination monday CRM record values so you can verify that license numbers, recruiting stages, deal amounts, and board group assignments all landed correctly. During the diff we also validate that pick‑list values for Recruiting_Stage__c and Deal_Type__c match the allowed options in monday CRM, and that owner email resolutions succeeded for each record. You sign off on the diff before the full migration run is triggered.
Execute full migration with delta-pickup window
The full migration runs against monday CRM's API, paced to respect rate limits per your plan tier. A 24–48 hour delta window then queries Brokerkit for any records created or modified after the initial extraction timestamp. Modified records are updated in monday CRM using upsert logic keyed on Source_System_ID__c. An audit log captures every record operation, and one-click rollback reverts the account to its pre-migration state if reconciliation uncovers unexpected data loss.
Platform deep dives
Brokerkit
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 Brokerkit 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
Brokerkit: Not publicly documented — confirm with Brokerkit support during scoping..
Data volume sensitivity
Brokerkit 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
Answers to the questions buyers ask most during Brokerkit to monday CRM migration scoping. Not seeing yours? Book a call.
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