CRM migration

Migrate from AgentLocator to Microsoft Dynamics 365 Sales

Field-level mapping, validation, and rollback between AgentLocator and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .

AgentLocator logo

AgentLocator

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

100%

14 of 14

objects map 1:1 between AgentLocator and Microsoft Dynamics 365 Sales .

Complexity

BStandard

Timeline

48–96 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

AgentLocator is a lead-generation CRM built for real estate agents with built-in dialer, IDX listing search, MLS feed integration, and drip campaign tools. Dynamics 365 Sales is a general-purpose Microsoft CRM built on Dataverse with Account, Contact, Lead, and Opportunity entities. The migration challenge is translating AgentLocator's real estate-specific data model — leads with saved searches, listing interests, and agent-assigned pipelines — into Dynamics 365 Sales' structured table model. We extract AgentLocator data via their CSV export capability and REST API endpoints, then transform and load into Dynamics 365 Sales using the Dataverse Web API. AgentLocator drip campaigns and automated sequences must be rebuilt in Dynamics 365 Sales using Power Automate workflows or Sales Insights sequences. Custom real estate fields (listing status, MLS ID, property type) migrate as custom fields on the Contact and Lead tables. Pipeline stages from AgentLocator map to Dynamics 365 Opportunity stage values. Agent owners resolve by email match against Dynamics 365 users. We run a test migration first with field-level diff, then execute the full migration with a delta-pickup window capturing 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

AgentLocator logo

AgentLocator

What's pushing teams away

  • Customers report false promises around SEO performance, with organic search rankings remaining poor despite AgentLocator marketing claims about website optimization.
  • Lead quality and cost transparency issues surface in reviews — customers note a lack of cost-per-lead reporting and dissatisfaction with lead generation ROI compared to standalone marketing agencies.
  • Annual billing with no refund policy creates lock-in risk; the April 2025 review specifically warns against paying annually and recommends starting on monthly to assess fit.
  • Limited customization of websites and CRM fields frustrates agents who want more control over their client experience and data structure.
  • Poor customer service response, particularly on billing and cancellation issues, appears in negative reviews as a driver of churn.

Choosing

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

What's pulling them in

  • Deep Microsoft 365, Teams, and Outlook integration makes Microsoft Dynamics 365 Sales a natural fit for Microsoft-first organizations already invested in that ecosystem
  • Sales Enterprise and Premium tiers offer unlimited custom tables and advanced AI-driven forecasting and predictive analytics not available in lower tiers
  • Professional tier pricing at $65 per user per month offers a lower entry cost than Salesforce for SMB teams with straightforward CRM needs
  • Flexible customization options allow businesses to build bespoke apps, tailor forms and views, and integrate with other Dynamics 365 modules
  • Microsoft Copilot AI tools are embedded directly into the sales workflow on Enterprise and Premium, automating routine tasks and providing deal intelligence

Object mapping

How AgentLocator objects map to Microsoft Dynamics 365 Sales

Each row shows how a AgentLocator 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.

AgentLocator

Contact (AgentLocator Lead)

maps to

Microsoft Dynamics 365 Sales

Lead

1:1
Fully supported

AgentLocator contacts that have not yet converted to a client relationship map directly to Dynamics 365 Sales Lead. The Lead entity captures initial inquiry data, source attribution, and agent assignment. We preserve the original AgentLocator lead-create timestamp as a custom datetime field since Dynamics 365 Sales CreatedOn reflects the migration date.

AgentLocator

Contact (AgentLocator Client)

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

AgentLocator contacts marked as clients or with closed transactions map to Dynamics 365 Sales Contact. The Contact entity links to the primary Account (brokerage or individual account). AgentLocator contact phone numbers migrate as Phone and MobilePhone on the Contact record.

AgentLocator

Company / Brokerage

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

AgentLocator brokerage or company records map to Dynamics 365 Sales Account. For solo agents, the account may be the agent's own name; for team brokerages, the brokerage firm is the Account with individual agents as Contacts linked via AccountId. Website, industry (Real Estate), and address fields map directly.

AgentLocator

Saved Search

maps to

Microsoft Dynamics 365 Sales

Custom Entity (Lead_SavedSearch__c)

1:1
Fully supported

AgentLocator saved searches (city, price range, property type filters) have no direct Dynamics 365 Sales equivalent. We create a custom SavedSearch__c table linked to the Lead or Contact, storing filter criteria as text fields and last-modified date. This preserves the lead's expressed property interest for agents to reference after migration.

AgentLocator

Listing Interest / Viewing

maps to

Microsoft Dynamics 365 Sales

Custom Entity (ListingInterest__c)

1:1
Fully supported

AgentLocator listing views and viewing requests represent which properties a lead has expressed interest in. We create a ListingInterest__c custom entity linked to Contact and to an Opportunity or Note containing property details (address, MLS ID, price). MLS IDs and property statuses migrate as custom text fields since Dynamics 365 has no native listing entity.

AgentLocator

Pipeline / Stage

maps to

Microsoft Dynamics 365 Sales

Opportunity Stage

1:1
Fully supported

AgentLocator pipeline stages (New Inquiry, Contacted, Showing Scheduled, Offer Made, Under Contract, Closed) map to Dynamics 365 Sales Opportunity StageName values. We create stage values matching the source names and set probability percentages per stage. Each stage value is created under the default Business Process Flow unless custom business process flows are required.

AgentLocator

Task / Activity

maps to

Microsoft Dynamics 365 Sales

Task

1:1
Fully supported

AgentLocator call logs, SMS history, and email activities migrate as Dynamics 365 Sales Task records. Each Task links to the parent Contact or Lead via RegardingObjectId. Activity type is stored in the Type or Category field. Original timestamps are preserved as ActualEnd for completed activities.

AgentLocator

Note / Attachment

maps to

Microsoft Dynamics 365 Sales

Note

1:1
Fully supported

AgentLocator notes on contacts and listings migrate as Dynamics 365 Sales Note (annotation) records. Notes attach to the parent Contact, Lead, or Opportunity. File attachments are downloaded from AgentLocator and re-uploaded as Dynamics 365 Notes or SharePoint-connected document libraries if the organization uses Teams/SharePoint integration.

AgentLocator

Tag / Label

maps to

Microsoft Dynamics 365 Sales

Custom Field (Tags__c) or Topic

1:1
Fully supported

AgentLocator tags used to segment contacts (buyer, seller, investor, past-client) migrate as a semicolon-delimited text field on the Contact or as Dynamics 365 Topics if the Sales Insights module is active. Tags used for agent assignment are handled separately via OwnerId resolution by email match.

AgentLocator

Agent / Owner

maps to

Microsoft Dynamics 365 Sales

SystemUser → OwnerId

1:1
Fully supported

AgentLocator agent users are matched to Dynamics 365 Sales users by email address. Unmatched agents are flagged before migration; records for unmatched agents are assigned to a designated fallback owner (broker or admin). This ensures no record lands without a valid OwnerId in Dynamics 365.

AgentLocator

Custom Fields (listing status, MLS ID, property type)

maps to

Microsoft Dynamics 365 Sales

Custom Fields on Contact / Lead

1:1
Fully supported

AgentLocator custom fields specific to real estate (MLS ID, property type, listing status, preferred neighborhoods) migrate as new_ prefixed custom fields on the Contact or Lead table in Dynamics 365 Sales. Field data types are matched: pick-lists become OptionSets, numeric fields become Decimal or Whole Number, text fields become Single-Line Text.

AgentLocator

Email / SMS Template

maps to

Microsoft Dynamics 365 Sales

Dynamics 365 Email Templates

1:1
Fully supported

AgentLocator email and SMS templates do not migrate. They are exported as reference files so the Dynamics 365 admin can recreate them as Email Templates or Power Automate-approved templates. Template logic and personalization tokens require manual mapping to Dynamics 365 token syntax.

AgentLocator

Drip Campaign / Sequence

maps to

Microsoft Dynamics 365 Sales

Power Automate / Sales Insights Sequences

1:1
Fully supported

AgentLocator automated drip campaigns and lead nurture sequences have no direct equivalent in Dynamics 365 Sales. We export the campaign definition (trigger, steps, delays, content references) as a rebuild reference document. Rebuilt sequences are implemented in Power Automate or Sales Insights sequences after go-live.

AgentLocator

IDX / MLS Feed

maps to

Microsoft Dynamics 365 Sales

External Listing Integration

1:1
Fully supported

AgentLocator IDX and MLS feed data is external to the CRM and not migrated as CRM records. Listing inventory typically lives in a separate MLS system. We document the MLS ID linked to each contact's saved search so the broker can reconnect listing search tools post-migration with a compatible IDX provider.

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.

AgentLocator logo

AgentLocator gotchas

High

Annual billing with no refund clause

High

No public API — migration requires CSV export

Medium

Drip campaign automation cannot be exported

Medium

Website and IDX/MLS feeds require separate migration

Low

Saved searches are not portable

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales gotchas

High

Professional tier 15-table custom table limit blocks migrations

High

October 2024 pricing increase applies at renewal for all customers

Medium

Custom fields must be created in the UI before API writes

Medium

Power Platform request limits apply to bulk migrations

Medium

Activity records orphaned to inactive owners fail silently

Pair-specific challenges

  • AgentLocator saved searches have no Dynamics 365 native equivalent

    AgentLocator leads commonly have multiple saved searches attached — city, price range, property type filters the lead used when registering on the IDX site. Dynamics 365 Sales has no native saved-search concept. We create a custom SavedSearch__c table linked to the Lead or Contact, but agents must access this through a custom view rather than a native UI element. The saved-search data migrates correctly; the UX for reviewing it in Dynamics 365 requires a custom page or Power Apps component that the brokerage needs to build or request from their Microsoft partner.

  • MLS ID and IDX feed data is not CRM-record data — it lives in external listing systems

    AgentLocator's IDX and MLS feed integration stores listing data in the MLS provider's system, not in AgentLocator's CRM database. When migrating, we bring over the MLS ID and listing status associated with each contact's saved searches and viewing history, but the full listing inventory (photos, descriptions, showing instructions) does not live in AgentLocator and cannot be migrated. Brokerages must reconnect a Dynamics 365-compatible IDX provider after go-live. We document every MLS ID linked to each contact so the reconnection is straightforward.

  • Dynamics 365 Sales Professional caps custom tables at 15

    AgentLocator custom fields for real estate (MLS ID, property type, listing status, preferred neighborhoods, search criteria) multiply when every saved search and listing interest becomes a record. If the brokerage purchases Dynamics 365 Sales Professional, the 15-custom-table limit may be reached quickly with SavedSearch__c, ListingInterest__c, and multiple custom property fields. We flag this during discovery and recommend Enterprise licensing if the migration scope requires more than 15 custom tables. This is a licensing-gotcha that surfaces during the migration plan, not at data load time.

  • Drip campaigns and automated sequences must be rebuilt in Power Automate or Sales Insights

    AgentLocator's drip campaign builder creates multi-step email and SMS nurture sequences tied to lead registration, saved search activity, and listing view events. Dynamics 365 Sales does not import these sequences — they must be rebuilt as Power Automate flows or Sales Insights sequences. We export the campaign definition (step order, delay lengths, content references) as a rebuild reference document so the brokerage's Dynamics 365 admin can reconstruct the logic. This is disclosed upfront so brokerages budget admin time for the rebuild phase after go-live.

  • AgentLocator CSV export does not include activity history in a single file

    AgentLocator's bulk CSV export for leads covers contact fields and custom properties, but call logs, SMS history, and email activities are not included in the standard export. These must be retrieved via API calls per-record or in batches. For brokerages with high activity volumes (daily call logs, SMS drip messages), the API retrieval adds time to the data collection phase. We scope the API retrieval separately and include it in the migration plan before the transformation phase begins.

Migration approach

Six steps for a successful AgentLocator to Microsoft Dynamics 365 Sales data migration

  1. Extract AgentLocator data via CSV export and API

    We begin by exporting AgentLocator contacts, companies, and pipeline data via their bulk CSV export tool. Simultaneously, we retrieve activity history (calls, SMS, emails) via AgentLocator's API endpoints per-record or in batches. Custom field definitions are documented from the AgentLocator schema. We compile a data inventory showing record counts per object, custom field list, and activity volume so the transformation plan can be scoped accurately before any data lands in Dynamics 365.

  2. Map AgentLocator entities to Dynamics 365 Dataverse tables

    We map AgentLocator contacts to Dynamics 365 Leads (for unconverted inquiries) or Contacts (for clients), companies to Accounts, and pipeline stages to Opportunity StageName values. Custom fields (MLS ID, property type, saved search criteria) are mapped to new_ prefixed custom fields on the appropriate Dataverse table. We create the SavedSearch__c and ListingInterest__c custom tables at this stage if the brokerage's Dynamics 365 licensing supports them. Owner resolution by email match is validated against the Dynamics 365 user list.

  3. Resolve owners and validate custom field schema in Dynamics 365

    Before loading data, we verify that all Dynamics 365 custom fields are created with the correct data types (Text, OptionSet, Currency, DateTime). We validate that stage values exist in the Opportunity StageName option-set matching AgentLocator pipeline names. AgentLocator agents are matched to Dynamics 365 users by email — unmatched agents are flagged so the brokerage can invite them to Dynamics 365 or designate a fallback owner before migration day.

  4. Run sample migration with field-level diff

    A representative slice of records — typically 200–500 covering different agent assignments, pipeline stages, and contact types — migrates first. We generate a field-level diff comparing source AgentLocator values against the Dynamics 365 destination fields so the brokerage can verify saved search mapping, property type field population, and stage routing before the full run commits. Any mapping corrections are made at this stage.

  5. Execute full migration with delta-pickup window

    The full migration runs against Dynamics 365 using the Dataverse Web API. A delta-pickup window of 24–48 hours captures any AgentLocator records created or modified during the cutover window. Audit logging records every create, update, and associate operation. One-click rollback is available if the reconciliation check reveals data integrity issues. After go-live, the brokerage rebuilds drip campaigns using the exported campaign definition as a reference document.

Platform deep dives

Context on both ends of the pair

AgentLocator logo

AgentLocator

Source

Strengths

  • Integrated website + CRM + lead generation removes the need for separate vendors for hosting, contact management, and paid ads.
  • Native dialer, mass texting, and drip campaigns keep all lead communications on one timeline without third-party telephony.
  • ClearanceJobs-style direct integration with US and Canadian MLS feeds via IDX reduces setup time for new agents.
  • Strong training and onboarding programs cover not just product use but lead conversion technique, per Capterra reviewers.
  • Customer support is reachable by direct phone with no menu tree, plus email and a client Facebook group, with reported sub-hour average resolution times.

Weaknesses

  • Email layout editing is limited and users report inability to build a functional monthly newsletter from inside the platform.
  • Mobile app does not support full agent workflows, restricting in-the-field use compared to desktop.
  • Twilio numbers and SMS messaging are billed as add-ons on top of the base subscription, raising true cost-per-lead.
  • Annual prepayment has no refund clause, so customers report being locked into 12 months even if performance disappoints.
  • Customization of CRM fields and website templates is constrained, frustrating agents who want a fully branded client experience.
Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

Destination

Strengths

  • Native integration with Microsoft 365, Teams, Outlook, and SharePoint for unified productivity workflow
  • Unlimited custom tables and complex workflows on Enterprise tier enable deep customization for complex sales processes
  • AI-driven predictive analytics and deal intelligence on Enterprise and Premium tiers help sales teams prioritize pipeline
  • Dataverse unified data layer provides a consistent API and data model across all Dynamics 365 and Power Platform apps
  • Strong security model with Field-Level Security and Record Ownership rules for governance-conscious enterprises

Weaknesses

  • Sales Professional tier caps custom tables at 15, creating a migration ceiling for highly customized SMB environments
  • October 2024 pricing increases of $15 per user across all tiers apply to existing customers upon renewal
  • Implementation typically requires costly certified partners, adding 30–50% to total project cost
  • Updates and platform releases can disrupt customizations and plugins, requiring regression testing after each wave
  • Non-Microsoft integrations require additional configuration or middleware, limiting flexibility for heterogeneous tech stacks

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 AgentLocator and Microsoft Dynamics 365 Sales .

  • 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

    AgentLocator: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your AgentLocator to Microsoft Dynamics 365 Sales 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 AgentLocator to Microsoft Dynamics 365 Sales data migrations

Answers to the questions buyers ask most during AgentLocator to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.

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Most AgentLocator to Dynamics 365 Sales migrations complete in 48–96 hours of clock time for under 25,000 contact and lead records. Brokerages with more than 200,000 records, multiple saved searches per contact, or high activity history volume extend to 5–10 days. The longest planning step is mapping AgentLocator's real estate-specific custom fields and saved search criteria to Dynamics 365 custom tables and validating the stage-value mapping in the Opportunity pipeline.

Adjacent paths

Related migrations to explore

Ready when you are

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