CRM migration
Field-level mapping, validation, and rollback between Brokerkit and Mailchimp. We move data and schema; workflows are rebuilt natively in Mailchimp.
Brokerkit
Source
Mailchimp
Destination
Compatibility
10 of 10
objects map 1:1 between Brokerkit and Mailchimp.
Complexity
BStandard
Timeline
2–6 hours of clock time
Overview
Brokerkit and Mailchimp occupy opposite ends of the real-estate tech stack. Brokerkit manages agent recruitment, onboarding, retention, and deal pipelines for real estate brokerages — storing agents, companies, deals, activities, and custom properties tied to the recruiting lifecycle. Mailchimp manages subscriber audiences, campaigns, and email automations for marketing outreach — it has no native agent, deal, or pipeline object. The migration must therefore flatten Brokerkit's relational CRM model into Mailchimp's flat subscriber-centric structure. We extract Brokerkit contacts and companies via the platform's API and CSV exports, then map each contact's standard fields (name, email, phone, company affiliation) to Mailchimp subscriber fields. Brokerkit custom properties — recruitment source, license number, agent status, market area — become Mailchimp merge fields (FNAME, LNAME, PHONE, and custom MERGE0–MERGE7 fields) so the data remains queryable for segmentation and personalization. Agent records without a valid email address cannot become Mailchimp subscribers; we surface those as a separate exclusion report. Brokerkit pipelines, deal stages, and follow-up sequences do not have Mailchimp equivalents — those are exported as reference data and rebuilt manually using Mailchimp's automation builder. Our approach sequences the work as: audit and plan, resolve contacts and email addresses, create Mailchimp audience and merge field schema, migrate subscribers in a test batch, then run the full load with a delta window before DNS 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 Mailchimp, 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)
Mailchimp
Subscriber
1:1Every Brokerkit contact with a valid email address migrates to a Mailchimp subscriber. Email address is the primary key — if a Brokerkit contact has no email, it cannot become a Mailchimp subscriber and is surfaced as an exclusion in the migration report. The contact's full name, phone, and address fields map directly to Mailchimp's standard subscriber fields.
Brokerkit
Company
Mailchimp
No native equivalent
1:1Mailchimp has no Company or Account object. Brokerkit company affiliations for each contact are preserved as a custom merge field (COMPANY or BROKERAGE) on the subscriber record. If multiple companies per contact exist, we tag each contact with company names and store the primary company as the merge field value. Company-level reporting requires Mailchimp segments filtered by the COMPANY merge field.
Brokerkit
Deal
Mailchimp
No native equivalent
1:1Brokerkit deal pipelines, stages, and amounts have no Mailchimp equivalent. We export deal data (pipeline name, stage, amount, close date) as a separate JSON reference file. The pipeline-to-email-marketing logic must be rebuilt in Mailchimp's automation builder using subscriber tags and merge-field conditions. Any deal-related follow-up sequences become manual automation rebuilds.
Brokerkit
Activity / Call Log
Mailchimp
No native equivalent
1:1Brokerkit stores call logs, meeting notes, and task completions as activities tied to agent records. Mailchimp tracks email engagement (opens, clicks, unsubscribes) but has no native call or meeting log. We export activity history as a separate reference JSON. Email engagement data generated post-migration lives in Mailchimp's campaign reporting — it does not merge with pre-migration Brokerkit call logs.
Brokerkit
Custom Property (Agent)
Mailchimp
Merge Field
1:1Brokerkit custom properties on agents — such as recruitment_source, license_number, market_area, agent_status, and team_leader — map to Mailchimp merge fields (MERGE0–MERGE7 or named fields like SOURCE, LICENSE, MARKET). Field type (text, number, date) is matched to Mailchimp's supported merge field types. Each property requires a corresponding merge field to exist in the Mailchimp audience before data loads.
Brokerkit
Custom Property (Company)
Mailchimp
Merge Field or Tag
1:1Brokerkit company-level custom properties (e.g., brokerage_brand, office_location, commission_split) are stored as merge fields on the primary contact subscriber or as tags on all contacts associated with that company. We map one-to-one where the property is single-valued; multi-valued properties become a tag per value applied to all associated subscribers.
Brokerkit
Tag / Label
Mailchimp
Tag
1:1If Brokerkit applies internal labels or tags to contacts (e.g., 'top_recruit', 'inactive_agent', 'new_hire'), those labels migrate as Mailchimp subscriber tags. Tags are preserved exactly as written — the tag name in Brokerkit becomes the tag name in Mailchimp. Tags apply to the subscriber record and can be used to build segments post-migration.
Brokerkit
Attachment / Document
Mailchimp
No native equivalent
1:1Brokerkit attachments on agent profiles or deal records (e.g., license PDFs, contract documents) cannot be stored in Mailchimp — Mailchimp has no attachment object. We export all attachments as a separate structured ZIP download keyed by Brokerkit contact ID. The team references the download post-migration to locate original documents associated with each subscriber.
Brokerkit
Agent Status
Mailchimp
Tag
1:1Brokerkit agent status values (Active, Inactive, Onboarding, Released) map to Mailchimp subscriber tags. The mapping is value-by-value: each Brokerkit status string becomes a corresponding tag string in Mailchimp. Post-migration, agent lifecycle management requires updating tags manually or via Mailchimp's API as agent status changes in Brokerkit.
Brokerkit
Brokerage / Office
Mailchimp
Audience or Tag
1:1Brokerages with multiple offices must decide between one Mailchimp audience (using OFFICE tags for segmentation) or separate audiences per office. Single-audience with tags is simpler to migrate; multi-audience preserves independent list hygiene per office but requires managing contacts across audiences. We surface this decision point in the migration plan before data moves.
| Brokerkit | Mailchimp | Compatibility | |
|---|---|---|---|
| Agent (Contact) | Subscriber1:1 | Fully supported | |
| Company | No native equivalent1:1 | Fully supported | |
| Deal | No native equivalent1:1 | Fully supported | |
| Activity / Call Log | No native equivalent1:1 | Fully supported | |
| Custom Property (Agent) | Merge Field1:1 | Fully supported | |
| Custom Property (Company) | Merge Field or Tag1:1 | Fully supported | |
| Tag / Label | Tag1:1 | Fully supported | |
| Attachment / Document | No native equivalent1:1 | Fully supported | |
| Agent Status | Tag1:1 | Fully supported | |
| Brokerage / Office | Audience or Tag1:1 | 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
Mailchimp gotchas
Contact count includes unsubscribed and non-subscribed records
Automation workflows cannot be exported
Account suspensions trigger silently during migration
Template HTML is Mailchimp-specific and may not render in other platforms
E-commerce data requires active store connection
Pair-specific challenges
Migration approach
Audit Brokerkit data and design Mailchimp audience schema
FlitStack AI extracts a full export of Brokerkit contacts, companies, and custom properties via the platform's API and CSV export endpoints. We audit every field: identifying contacts with and without valid email addresses, cataloguing all Brokerkit custom properties and their data types, noting tags and labels in use, and reviewing deal and activity records that will become reference data. From this audit we deliver a Mailchimp audience setup plan listing every merge field to create, the Brokerkit property each maps from, and the chosen field type (text, number, date, phone). We also surface contacts without email as a pre-migration enrichment checklist and confirm the audience structure decision for multi-office brokerages before any data moves.
Create Mailchimp audience, merge fields, and tag taxonomy
Your Mailchimp account admin (or our team acting with your credentials) creates the audience and all required merge fields in Mailchimp based on the setup plan. We define the tag taxonomy: agent_status values become STATUS tags, market_area becomes MARKET tags, brokerage_name becomes BROKERAGE tags, and recruitment_source becomes SOURCE tags. The tag taxonomy is documented so your team can maintain the tagging logic post-migration. This step also includes configuring any Mailchimp group structures if your team uses groups for double opt-in confirmation flows. No data loads until the schema is confirmed in Mailchimp.
Run test migration with field-level validation on a sample batch
FlitStack AI runs a test migration using 50–100 representative Brokerkit contacts — including a mix of contacts with and without custom properties, contacts with multiple company associations, and contacts with no email (as an exclusion test). We validate that each merge field receives the correct Brokerkit value, that tags are applied correctly per the taxonomy, and that excluded contacts are surfaced accurately in the exclusion report. A field-level diff is generated comparing source Brokerkit field values against the imported Mailchimp subscriber records. You review the test results and confirm the mapping before the full migration commits.
Execute full migration with delta-pickup window
The full Brokerkit contact list migrates to Mailchimp. All contacts with valid email addresses load into the audience with their merge field values and tags. Contacts without email are excluded and detailed in the exclusion report. Deal data, activity history, and attachments are exported as structured reference files. A delta-pickup window (24–48 hours) runs after the main load, capturing any contacts added or modified in Brokerkit during the migration window. After the delta completes, you receive a migration report covering: total contacts migrated, contacts excluded (with reason), merge field coverage, and a complete list of reference file exports.
Deliver migration report and rebuild reference for workflows
FlitStack AI delivers a structured migration package containing: the Mailchimp audience export (verified subscriber records with merge field values), the Brokerkit workflow and deal reference JSON (exported deal names, pipeline stages, activity log summaries, and attachment filenames keyed by contact ID), and a rebuild reference document mapping each Brokerkit workflow to Mailchimp automation triggers. Your team uses the automation reference to rebuild follow-up sequences in Mailchimp's automation builder. The attachment ZIP is delivered alongside for document retrieval. Audit log captures every migration operation, and one-click rollback is available to re-export the Mailchimp audience if reconciliation reveals unexpected data gaps within 72 hours of migration completion.
Platform deep dives
Brokerkit
Source
Strengths
Weaknesses
Mailchimp
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 Mailchimp.
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
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