CRM migration
Field-level mapping, validation, and rollback between Brokerkit and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Brokerkit
Source
Pipedrive
Destination
Compatibility
12 of 12
objects map 1:1 between Brokerkit and Pipedrive.
Complexity
BStandard
Timeline
24–72 hours
Overview
Brokerkit organizes data around real estate agents, brokerages, recruitment pipelines, and transaction milestones — tracking where each agent sits in onboarding, active, or retention status. Pipedrive models the same contacts as Persons linked to Organizations, and tracks progress through customizable Deal pipelines with Stages, Activities, and Notes. The migration carries Brokerkit's agent profiles, brokerage associations, transaction records, custom fields, and activity history into Pipedrive's object graph. The main translation work is mapping Brokerkit's recruitment-stage values to Pipedrive's Stage pick-list per pipeline, resolving Brokerkit owner emails to Pipedrive user accounts, and deciding how Brokerkit's transaction pipeline stages map to Pipedrive stage names. FlitStack AI uses scoped read access against Brokerkit's API and Pipedrive's Bulk API to move records in the correct dependency order — Organizations first, then Persons, then Deals, then Activities. Automation workflows (recruitment sequences, drip campaigns) do not migrate and must be rebuilt in Pipedrive's automation builder after migration.
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 Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Brokerkit
Agent / Contact
Pipedrive
Person
1:1Brokerkit's agent profile maps directly to Pipedrive's Person object. Name, email, phone, address, and job title fields translate field-by-field with no transformation logic required. Brokerkit agent status (Active, Inactive, Prospect) is preserved as a custom pick-list on the Person record in Pipedrive, ensuring that agent lifecycle information remains queryable after migration.
Brokerkit
Brokerage / Team
Pipedrive
Organization
1:1Brokerkit's brokerage entity maps to Pipedrive's Organization object. Brokerage name, website, industry, and address fields map directly using the same data types. Multi-office brokerages with parent-child relationships translate via Organization's parent_id field in Pipedrive, preserving the hierarchical structure. The parent Organization must be migrated first to resolve circular reference issues during the data load.
Brokerkit
Agent–Brokerage Association
Pipedrive
Person–Organization Link
1:1Brokerkit's agent-to-brokerage many-to-one relationship maps to Pipedrive's Person.organization_id lookup. Each Brokerkit agent has one primary brokerage assignment that becomes the organization_id on the Person record. Secondary brokerage associations that exist in Brokerkit are preserved as custom fields on the Person record, allowing teams to maintain a complete brokerage association history without data loss.
Brokerkit
Transaction / Deal
Pipedrive
Deal
1:1Brokerkit's real estate transaction records map to Pipedrive's Deal object. Transaction status, close date, commission amount, and agent assignment all translate to standard Pipedrive Deal fields. Brokerkit's transaction ID is stored as Source_System_ID__c on the Pipedrive Deal for traceability back to the original Brokerkit record, enabling audit trails and cross-system reporting after migration completes.
Brokerkit
Recruitment Pipeline
Pipedrive
Pipeline + Stage
1:1Brokerkit's recruitment pipeline stages (Applied, Interviewing, Offered, Hired, Active, Retained) map to Pipedrive Pipeline stages. Each Brokerkit recruitment pipeline becomes one Pipedrive Pipeline with ordered stages representing the agent journey. Stage probability values are assigned per stage name during migration configuration, and stage-entered timestamps are preserved as custom datetime fields on the Deal for historical reporting.
Brokerkit
Transaction Pipeline
Pipedrive
Pipeline + Stage
1:1Brokerkit's transaction pipeline stages (Pre-Market, Listed, Under Contract, Pending, Closed Won, Closed Lost) map to a separate Pipedrive Pipeline. Each stage's success probability is set during Pipedrive pipeline configuration. Stage-entered timestamps are preserved as custom datetime fields on the Deal.
Brokerkit
Activity / Follow-up
Pipedrive
Activity
1:1Brokerkit's recruiting activity log (calls, emails, notes, tasks) maps to Pipedrive Activities. Each activity type maps to Pipedrive's activity_type field (call, email, meeting, task). Original timestamps, owners, and linked agent or deal references are preserved in the Pipedrive activity record, maintaining the full activity history for each agent and transaction throughout the migration.
Brokerkit
Note / Comment
Pipedrive
Note
1:1Brokerkit's notes on agents, transactions, and brokerages migrate to Pipedrive Notes. Notes are attached to the corresponding Person, Organization, or Deal record based on the entity they reference in Brokerkit. Rich-text formatting from Brokerkit is preserved as plain text in Pipedrive's Note object, ensuring that note content remains readable even if advanced formatting is simplified during the migration.
Brokerkit
Custom Field (Agent)
Pipedrive
Person Custom Field
1:1Brokerkit custom fields on agent profiles that have no direct Pipedrive equivalent (e.g., license number, MLS ID, referral source) are created as Pipedrive custom fields on the Person object using the matching field type (text, numerical, single option, etc.). Pipeline-specific fields are scoped to the relevant Pipedrive pipeline.
Brokerkit
Custom Field (Transaction)
Pipedrive
Deal Custom Field
1:1Brokerkit custom fields on transaction records (e.g., property address, listing type, commission split) migrate as Pipedrive custom fields on the Deal object. Date and monetary field types from Brokerkit map directly to Pipedrive's date and monetary custom field types, maintaining the original data precision. Pipeline-specific custom fields are scoped to the relevant Pipedrive pipeline during configuration.
Brokerkit
Tag / Label
Pipedrive
Label
1:1Brokerkit tags on agents and transactions map to Pipedrive Labels. Labels exist independently per entity type in Pipedrive (Person Labels, Organization Labels, Deal Labels), so agent tags land in the Person Labels section while transaction tags appear in Deal Labels. Labels are created automatically during migration with the same color-coding applied where Pipedrive's label color field supports it.
Brokerkit
Owner / User
Pipedrive
User
1:1Brokerkit users are matched to Pipedrive users by email address to preserve ownership assignments during migration. Unmatched Brokerkit owners are flagged before migration begins — these users are either invited to create Pipedrive accounts or assigned to a fallback Pipedrive user. No record lands in Pipedrive without a valid OwnerId, ensuring that all migrated data maintains proper access controls and accountability.
| Brokerkit | Pipedrive | Compatibility | |
|---|---|---|---|
| Agent / Contact | Person1:1 | Fully supported | |
| Brokerage / Team | Organization1:1 | Fully supported | |
| Agent–Brokerage Association | Person–Organization Link1:1 | Fully supported | |
| Transaction / Deal | Deal1:1 | Fully supported | |
| Recruitment Pipeline | Pipeline + Stage1:1 | Fully supported | |
| Transaction Pipeline | Pipeline + Stage1:1 | Fully supported | |
| Activity / Follow-up | Activity1:1 | Fully supported | |
| Note / Comment | Note1:1 | Fully supported | |
| Custom Field (Agent) | Person Custom Field1:1 | Fully supported | |
| Custom Field (Transaction) | Deal Custom Field1:1 | Fully supported | |
| Tag / Label | Label1:1 | Fully supported | |
| Owner / User | User1:1 | 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
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Audit Brokerkit data and build the mapping plan
FlitStack AI extracts a full data inventory from Brokerkit — agent profiles, brokerage records, transactions, activities, notes, and all custom fields. We cross-reference this against Pipedrive's standard field inventory to identify which fields map directly, which require custom field creation, and which Brokerkit fields have no Pipedrive equivalent. We deliver a Data Mapping Workbook that lists every field, its mapping type, and any transformation required. You approve the mapping plan before any data moves.
Create Pipedrive schema: pipelines, stages, and custom fields
Before migrating records, FlitStack AI creates the Pipedrive pipelines and stages needed to receive Brokerkit data. This includes setting up recruitment and transaction Pipedrive Pipelines, defining Stage names and probabilities, and pre-creating custom fields to capture Pipedrive's hash-key field identifiers. Pipedrive users are also verified against Brokerkit owner emails so the owner resolution mapping is ready before records land. This schema setup step ensures that every field and relationship has a target before any data movement begins, preventing the need for retroactive schema changes mid-migration.
Migrate Organizations and Persons first, then Deals
Pipedrive requires Organizations to exist before Persons can be linked via organization_id, and Persons to exist before Deals can reference person_id. FlitStack AI sequences the migration in dependency order: first Organizations (brokerages), then Persons (agents), then Deals (transactions). Activities and Notes attach after their parent records exist. This sequencing prevents orphaned records and broken relationship links that occur when deals are migrated before the people associated with them.
Run a sample migration with field-level diff and reconciliation report
FlitStack AI migrates a representative sample — typically 200–500 records spanning agents, brokerages, transactions, and activities — before the full run. We generate a field-level diff comparing source values in Brokerkit against destination values in Pipedrive. The reconciliation report surfaces any fields where values differ, custom fields that failed to write, and Deals that landed without a stage assignment. You review the report and approve the full migration before it commits.
Execute full migration with delta-pickup and rollback window
The full migration runs against Pipedrive's API in throttled batches. A delta-pickup window of 24–48 hours after the primary run captures any records modified in Brokerkit during cutover. FlitStack AI generates a complete audit log of every record created or updated. If reconciliation reveals a data integrity issue, one-click rollback reverts all migrated records from Pipedrive. After rollback window closes, the Pipedrive instance is your live system with Brokerkit in read-only mode for reference.
Platform deep dives
Brokerkit
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Pipedrive.
Object compatibility
3 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 Pipedrive migration scoping. Not seeing yours? Book a call.
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