CRM migration
Field-level mapping, validation, and rollback between IDX Broker and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
IDX Broker
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
9 of 10
objects map 1:1 between IDX Broker and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
48–96 hours
Overview
IDX Broker organizes data around listing records with flat contact and agent objects. Dynamics 365 Sales uses Dataverse with a relational table model — Accounts, Contacts, Leads, and Opportunities all carry lookups and relationships that must resolve in the right order during migration. FlitStack AI extracts contacts and agents from IDX Broker via the REST API with pagination, transforms each record into the corresponding Dynamics 365 table, and creates a custom RealEstateListing table to hold listing-specific fields that have no standard equivalent in Dynamics 365 Sales. Workflows, saved searches, lead routing rules, and any IDX Broker automation logic do not migrate — those must be rebuilt using Power Automate and Dynamics 365 native features after data lands. We deliver a schema plan, a sample run with field-level diff, then a full migration with a 24–48 hour delta-pickup window to capture in-flight changes during cutover. Owner assignment resolves by agent email against your Dynamics 365 user list.
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.
Source platform
IDX Broker platform overview
Scorecard, SWOT, gotchas, and pricing for IDX Broker.
Destination platform
Microsoft Dynamics 365 Sales platform overview
Scorecard, SWOT, gotchas, and pricing for Microsoft Dynamics 365 Sales .
Data migration guide
The complete Microsoft Dynamics 365 Sales migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Microsoft Dynamics 365 Sales migration checklist
Pre- and post-cutover tasks for moving onto Microsoft Dynamics 365 Sales .
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a IDX Broker object lands in Microsoft Dynamics 365 Sales , including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
IDX Broker
Contact
Microsoft Dynamics 365 Sales
Lead / Contact
1:manyIDX Broker contacts split by listing association and role: leads without a closed listing become Dynamics 365 Leads; agents and brokers with active listings become Contacts. Email and phone map directly; firstname and lastname resolve to the Name fields on each table. Unmatched contacts are staged in a custom IDX_StagedContact__c table for admin review.
IDX Broker
Listing
Microsoft Dynamics 365 Sales
RealEstateListing__c (custom table)
1:1IDX Broker listings have no direct equivalent in Dynamics 365 Sales. FlitStack creates a custom RealEstateListing__c table in Dataverse with fields for MLS number, price, status, bedrooms, bathrooms, square footage, lot size, year built, property type, and image URL list. The table links to the listing agent via OwnerId and to the associated office Account via AccountId__c lookup.
IDX Broker
Agent
Microsoft Dynamics 365 Sales
SystemUser + Contact
1:1IDX Broker agents map to both a Contact record (for visibility on listings) and a SystemUser record (so OwnerId lookups resolve correctly on RealEstateListing__c). Agent ID from IDX Broker is stored as Agent_ID__c on both the Contact and the RealEstateListing__c record to maintain traceability back to the source.
IDX Broker
Office
Microsoft Dynamics 365 Sales
Account
1:1IDX Broker offices map directly to Dynamics 365 Accounts. Office name becomes Account Name; address fields map to the standard address compound on Account. Agents in IDX Broker who belong to an office get their Contact record linked via the ParentAccountId lookup so team hierarchy is visible on the Account page.
IDX Broker
Contact Address
Microsoft Dynamics 365 Sales
Contact (address fields)
1:1IDX Broker stores contact address as a single string. FlitStack parses the string using common real estate address formats and populates AddressLine1, AddressLine2, City, StateOrProvince, PostalCode, and Country on the Contact record. Unparseable addresses are preserved in Address_Line_Raw__c as a custom text field for manual correction in Dynamics.
IDX Broker
Listing Address
Microsoft Dynamics 365 Sales
RealEstateListing__c (address fields)
1:1Listing street address on IDX Broker is parsed into AddressLine1, City, StateOrProvince, and PostalCode on the custom RealEstateListing__c table. The parsed components enable Dynamics 365 address validation, reporting, and proximity searches using standard address fields. Full address text is also preserved in Listing_Full_Address__c to support geocoding or map integrations after migration. If parsing encounters unusual formatting, the raw value remains available in Listing_Full_Address__c for manual correction.
IDX Broker
Listing Status
Microsoft Dynamics 365 Sales
RealEstateListing__c.ListingStatus__c (custom picklist)
1:1IDX Broker listing statuses (Active, Pending, Sold, Withdrawn, Expired) map to a custom picklist on RealEstateListing__c. Each value is mapped one-to-one by label. Probability fields on Opportunities do not automatically update from listing status — that logic must be added via a Power Automate flow after migration.
IDX Broker
Agent Email
Microsoft Dynamics 365 Sales
Contact.Email / SystemUser.InternalEmailAddress
1:1Agent email is the key resolution field for matching IDX Broker agents to existing Dynamics 365 users. If a SystemUser with the matching InternalEmailAddress exists, the Agent record links directly. If not, a new SystemUser is provisioned and a Contact record is created simultaneously to preserve the agent's display name and contact details.
IDX Broker
Listing Timestamps
Microsoft Dynamics 365 Sales
RealEstateListing__c.CreatedOn__c / UpdatedOn__c (custom datetime)
1:1Dynamics 365 sets CreatedOn at record creation time in the destination, which may differ from the original IDX Broker create date. Original listing create and update timestamps are preserved as custom datetime fields (Listing_Created_Date__c and Listing_Updated_Date__c) for reporting continuity and audit purposes.
IDX Broker
Listing Images
Microsoft Dynamics 365 Sales
RealEstateListing__c.ImageURLs__c (custom text)
1:1IDX Broker image URLs are stored as a comma-separated list in ImageURLs__c on the RealEstateListing__c record. Images are not re-uploaded to Dynamics 365 native storage by default — the URLs are preserved as a reference field. If re-hosting in SharePoint or Azure Blob is required, that can be scoped as an add-on step.
| IDX Broker | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Lead / Contact1:many | Fully supported | |
| Listing | RealEstateListing__c (custom table)1:1 | Fully supported | |
| Agent | SystemUser + Contact1:1 | Fully supported | |
| Office | Account1:1 | Fully supported | |
| Contact Address | Contact (address fields)1:1 | Fully supported | |
| Listing Address | RealEstateListing__c (address fields)1:1 | Fully supported | |
| Listing Status | RealEstateListing__c.ListingStatus__c (custom picklist)1:1 | Fully supported | |
| Agent Email | Contact.Email / SystemUser.InternalEmailAddress1:1 | Fully supported | |
| Listing Timestamps | RealEstateListing__c.CreatedOn__c / UpdatedOn__c (custom datetime)1:1 | Fully supported | |
| Listing Images | RealEstateListing__c.ImageURLs__c (custom text)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.
IDX Broker gotchas
Subdomain-based IDX page hosting affects SEO
MLS board approval requires paper agreements before data access
Wrapper-page system causes theme conflicts
Microsoft Dynamics 365 Sales gotchas
Professional tier 15-table custom table limit blocks migrations
October 2024 pricing increase applies at renewal for all customers
Custom fields must be created in the UI before API writes
Power Platform request limits apply to bulk migrations
Activity records orphaned to inactive owners fail silently
Pair-specific challenges
Migration approach
Map IDX Broker objects to Dynamics 365 tables and create custom schema
FlitStack reviews your IDX Broker account structure — contacts, listings, agents, offices, and any custom fields — and maps each to a Dynamics 365 table or custom Dataverse table. We create the RealEstateListing__c table with all required fields, configures custom pick-lists for listing status and property type, and sets up the Account lookup from the listing record. If your listing schema exceeds Sales Professional's 15-table limit, we document the Enterprise license requirement before any data moves. You receive a schema plan document to review and approve before extraction begins.
Extract data from IDX Broker API with pagination and filtering
FlitStack connects to your IDX Broker account via the REST API using pagination to pull all contacts, listings, agents, and office records in batches. API rate limits are respected by spacing requests within IDX Broker's limits. Raw records are staged in a FlitStack-owned staging environment where address strings are parsed, listing status values are normalized, and agent-to-office relationships are resolved. Records that cannot be automatically matched (agents without email, offices with missing addresses) are flagged in a pre-flight report for your team to correct before the migration run.
Resolve agent and office owners, then sequence the migration in dependency order
Agents from IDX Broker are resolved by email against your Dynamics 365 user list. Matching agents get a Contact record linked to their SystemUser; unmatched agents are provisioned as both Contact and SystemUser simultaneously. Offices migrate as Accounts before agents and listings so that ParentAccountId lookups resolve on insert. The migration sequence runs: Accounts (offices) → Contacts (agents + leads) → RealEstateListing__c (listings with OwnerId and Office_AccountId__c populated). This order ensures foreign-key constraints are satisfied and no record lands with a broken lookup.
Run a sample migration with field-level diff on 50–200 records
A representative slice — typically 50–200 records spanning contacts, listings, agents, and offices — migrates into your Dynamics 365 sandbox or a designated test environment. FlitStack generates a field-level diff comparing source values against destination field values so you can verify address parsing, status value mapping, owner resolution, and date preservation. You can spot-check records in Dynamics 365 before the full run commits. Any mapping adjustments are made to the migration configuration before the production run begins.
Execute full migration with delta-pickup window and audit log
The full migration runs against your production Dynamics 365 environment. A delta-pickup window of 24–48 hours after the main run captures any listings, contacts, or agent changes made in IDX Broker during the cutover period. FlitStack generates an audit log listing every record created, updated, or skipped, with reasons for any records that could not be migrated. One-click rollback reverts all migrated records if reconciliation reveals data integrity issues. After rollback confirmation, your team has a clean go/no-go decision based on actual migrated data.
Platform deep dives
IDX Broker
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
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 IDX Broker and Microsoft Dynamics 365 Sales .
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
IDX Broker: Not publicly documented.
Data volume sensitivity
IDX Broker 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 IDX Broker to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.
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