CRM migration

Migrate from Brokerkit to monday CRM

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

Brokerkit logo

Brokerkit

Source

monday CRM

Destination

monday CRM logo

Compatibility

92%

11 of 12

objects map 1:1 between Brokerkit and monday CRM.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Brokerkit logo

Brokerkit

What's pushing teams away

  • The platform lacks deep customization options, leaving brokerages with non-standard recruiting workflows forced to work around the tool's opinionated structure.
  • Canadian market integrations do not exist, and no native equivalents to US tools like RealMetrix means international teams have no path forward within the platform.
  • Reporting and analytics fall short for teams that need pipeline attribution broken down beyond basic source-level tracking.

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 Brokerkit objects map to monday CRM

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

maps to

monday CRM

Contact

1:1
Fully supported

Brokerkit 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])

maps to

monday CRM

Contact with Status__c custom field

1:1
Fully supported

Brokerkit'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

maps to

monday CRM

Deal item on CRM Board

1:1
Fully supported

Brokerkit 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

maps to

monday CRM

Board Group

1:1
Fully supported

Brokerkit 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

maps to

monday CRM

Team__c custom column on Contact

1:1
Fully supported

Brokerkit'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

maps to

monday CRM

Board (recruiting or marketing board)

1:1
Fully supported

Brokerkit 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

maps to

monday CRM

Activity (connected to Contact)

many:1
Fully supported

Brokerkit 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)

maps to

monday CRM

Activity (Activity Log)

1:1
Fully supported

Brokerkit 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)

maps to

monday CRM

Custom Column on Contact

1:1
Fully supported

Brokerkit 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)

maps to

monday CRM

Custom Column on Deal item

1:1
Fully supported

Brokerkit 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

maps to

monday CRM

monday CRM Files (uploaded to item)

1:1
Fully supported

Brokerkit 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

maps to

monday CRM

Exported JSON (manual rebuild required)

1:1
Fully supported

Brokerkit 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.

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.

Brokerkit logo

Brokerkit gotchas

High

CSV exports truncate long text fields

High

No public API means migration tooling is limited

Medium

Plan tier limits restrict what data exists

Medium

Integration connections do not transfer on migration

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

  • Board groups as pipeline stages require pre-migration setup

    Brokerkit stores deal stage as a single field value. In monday CRM, each stage becomes a board group. Teams with more than four or five deal stages need to create those groups in monday CRM before data lands, otherwise migration assigns all deals to a single 'Incoming' group by default. We deliver a group-creation checklist with the exact group names derived from Brokerkit's unique stage values so your admin can pre-configure the board before the migration run commits any data.

  • Agent team hierarchy collapses to a flat custom column

    Brokerkit models offices and sub-teams as a parent-child hierarchy. monday CRM has no native team hierarchy object — contacts exist at the account level with no built-in team-to-team reporting structure. We map team membership to a custom Team__c text column on each Contact. Brokerages that rely on team-level reporting in Brokerkit (e.g., office-level transaction volume) must rebuild those reports in monday CRM using group-by filters on the Team__c column, which requires a different reporting approach than Brokerkit's hierarchical drill-down.

  • monday CRM API rate limits can extend migration windows for large datasets

    monday CRM enforces a daily API call limit that varies by plan: 1,000 calls/day on Basic and Standard, 10,000 on Pro, and 25,000 on Enterprise. A Brokerkit account with 50,000 agents, 30,000 deals, and activity history can generate millions of API operations during a full migration. We pace insertions to stay within these limits and distribute writes across multiple calendar days. The delta window also adds 24–48 hours after the initial load completes, which extends the total migration timeline for large datasets beyond what a straightforward CRM export would suggest.

  • Custom properties with pick-list values need column type creation before import

    Brokerkit stores custom agent properties with pick-list values (e.g., 'MSA', 'Recruiting Channel', 'License Type') as structured enums. monday CRM custom columns must be created as drop-down type in the UI or via the API before migration runs, otherwise the import process creates text columns that lose the pick-list constraint. We surface every custom property that requires a drop-down column in our pre-migration plan, but any column created during the migration rather than before it will cause the first batch of records to land without the drop-down enforcement applied retroactively.

  • Automations and recruiting sequences do not transfer

    Brokerkit sequences (e.g., a 5-email recruiting drip triggered when an agent enters 'New Lead' stage) and deal alert automations are platform-native logic with no structural equivalent in monday CRM's automation builder. The triggers, conditions, and action sequences differ fundamentally in execution model. We export Brokerkit automation definitions as a JSON reference document, but your monday CRM admin must rebuild every automation from scratch using monday's automation blocks. This is the most manual work required after a Brokerkit to monday CRM migration and typically takes 1–3 days depending on automation complexity.

Migration approach

Six steps for a successful Brokerkit to monday CRM data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Brokerkit logo

Brokerkit

Source

Strengths

  • Tiered plans scale from solo broker to 10-seat brokerage with predictable per-user pricing.
  • Built-in SMS and email follow-up sequences without requiring a separate engagement platform.
  • Multi-admin account support on Core and Expansion tiers enables office manager delegation.
  • Strong customer support reputation with responsive ticket resolution and webinar-based onboarding resources.

Weaknesses

  • No public API documentation means migration relies on CSV exports, which can truncate long text fields.
  • Canadian market has no integrations or localization, making the platform US-only for practical purposes.
  • Limited customization compared to general-purpose CRMs like HubSpot or Follow Up Boss.
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. 1 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 Brokerkit and monday CRM.

  • Object compatibility

    B

    1 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

    Brokerkit: Not publicly documented — confirm with Brokerkit support during scoping..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Brokerkit 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 Brokerkit to monday CRM data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most Brokerkit to monday CRM migrations complete in 48–72 hours of clock time for accounts under 25,000 combined agent and deal records. Larger brokerages with 100,000+ records or more than 30 custom property columns extend to 5–10 days. The delta-pickup window adds 24–48 hours after the initial load completes. monday CRM API rate limits on Basic and Standard plans (1,000 calls/day) extend migration timelines compared to Pro or Enterprise plans where the 10,000–25,000 daily call budget accommodates faster ingestion.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Brokerkit.
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