CRM migration
Field-level mapping, validation, and rollback between AgentLocator and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
AgentLocator
Source
Salesforce Sales Cloud
Destination
Compatibility
12 of 12
objects map 1:1 between AgentLocator and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
48–72 hours
Overview
AgentLocator is a real estate CRM built around lead capture, IDX website integration, and automated drip campaigns for agents and brokers in Canada and the USA. Its data model centers on Leads with property-interest associations, saved searches, and pipeline statuses specific to real estate transactions. Salesforce Sales Cloud uses a generic Account-Contact-Lead-Opportunity model with RecordTypeId, custom __c fields, and a rich relationship graph (Account Contact Relations, Opportunity Contact Roles, Campaign Members). The migration carries AgentLocator's standard contact fields, custom properties, saved searches, property interests, and activity logs into Salesforce's schema. Real estate-specific concepts like IDX lead sources, property saved searches, and drip campaign stages become custom fields or require Salesforce Flow rebuilds. FlitStack uses scoped read access against the AgentLocator API to extract data, transforms it through a field-level mapping plan, and loads via Salesforce Bulk API to handle volume without hitting API rate limits. Workflows, sequences, and drip campaigns do not migrate and must be rebuilt in Salesforce Flow or a marketing automation tool. A delta-pickup window (24–48 hours) captures in-flight changes during cutover, and a sample migration with field-level diff runs before the full commit.
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 AgentLocator object lands in Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
AgentLocator
Lead
Salesforce Sales Cloud
Contact
1:1AgentLocator Lead maps directly to Salesforce Contact when the lead represents a known buyer or seller. Salesforce requires an AccountId for most Contact records — leads without a primary brokerage association are attached to a default 'Unassigned' Account or flagged for owner assignment.
AgentLocator
Lead
Salesforce Sales Cloud
Lead
1:1AgentLocator Lead also maps to Salesforce Lead for prospects not yet converted. The split decision is based on AgentLocator's lead status: 'Active Buyer' or 'Active Seller' routes to Contact; early-stage leads route to Salesforce Lead for further qualification in Salesforce's standard model.
AgentLocator
Contact / Company
Salesforce Sales Cloud
Account
1:1AgentLocator stores agent and brokerage information as contact properties or company records. These map to Salesforce Account — agent name becomes Account Name for the brokerage entity, and individual agents become Salesforce Contacts with an AccountId pointing to their brokerage Account.
AgentLocator
Pipeline Stage
Salesforce Sales Cloud
Opportunity StageName
1:1AgentLocator pipeline stages (Active, Pending, Sold, Expired, Withdrawn) map to Salesforce Opportunity StageName pick-list values. Each stage requires value-by-value mapping, and probability percentages and forecast category are re-applied from Salesforce's stage configuration after migration. Salesforce validation rules reject records with stage values not present in the active Sales Process, so custom stages must be pre-created in Salesforce before the migration loads any Opportunity records.
AgentLocator
Saved Search
Salesforce Sales Cloud
Custom Object (Property_Search__c)
1:1AgentLocator saved searches store MLS listing criteria including price range, neighborhood, bedroom count, and other filters with no native Salesforce equivalent. FlitStack creates a Property_Search__c custom object with fields matching AgentLocator's search criteria, including Price_Range__c, Neighborhood__c, and Min_Bedrooms__c, with a lookup field to the Contact who owns each saved search. The custom object and all fields must be created in Salesforce before the migration loads any saved search records.
AgentLocator
Property Interest / IDX Lead
Salesforce Sales Cloud
Junction Object (Lead_Property_Interest__j)
1:1AgentLocator's native N:N relationship linking a Lead to a specific property listing requires reconstruction in Salesforce using a junction object (Lead_Property_Interest__j). This junction object contains lookups to the Contact (representing the buyer or seller) and a Property__c custom object (representing the listed property). Without this junction object, the many-to-many relationship between contacts and their property interests cannot be preserved in Salesforce's relational model.
AgentLocator
Activity Log (Call, Email, SMS)
Salesforce Sales Cloud
Task
1:1AgentLocator's built-in dialer call logs, email threads, and SMS exchanges map directly to Salesforce Task records. Each migrated Task receives a Type field value of 'Call', 'Email', or 'SMS' respectively, with the original timestamp, call duration, and owner information preserved from the AgentLocator activity log. The ActivityDate and OwnerId fields are populated to maintain the original activity chronology and attribution in Salesforce.
AgentLocator
Automated Listing Email / Drip Campaign
Salesforce Sales Cloud
N/A (No Equivalent)
1:1AgentLocator's drip campaigns and automated listing emails are automation constructs with no Salesforce CRM equivalent. They are not data — they are logic. FlitStack exports the campaign definition (stage sequence, timing, content references) as a rebuild specification for Salesforce Flow or a marketing automation platform.
AgentLocator
Custom Property (AgentLocator)
Salesforce Sales Cloud
Custom Field (__c)
1:1Every AgentLocator custom property (e.g., 'Lead Source Channel', 'Referral Partner', 'Mortgage Status') requires a Salesforce custom field with the __c suffix. The field type is matched (pick-list to pick-list, text to text) during the mapping phase, and fields are pre-created in Salesforce before data loads.
AgentLocator
Owner / Agent
Salesforce Sales Cloud
User (OwnerId)
1:1AgentLocator owner IDs are matched to Salesforce Users by email address. Unmatched owners are flagged before migration — the team either creates Salesforce users first or assigns records to a fallback user. No Opportunity or Contact lands in Salesforce without a resolved OwnerId.
AgentLocator
Attachment / File
Salesforce Sales Cloud
ContentDocument / Salesforce Files
1:1Files attached to AgentLocator leads or contacts are downloaded from AgentLocator's storage and re-uploaded to Salesforce Files using the ContentDocument and ContentVersion model. Salesforce enforces a 25MB per-file size limit, and files exceeding this threshold require chunking or alternative storage. Inline images embedded in notes are extracted, rehosted as separate ContentDocument records, and re-linked back to the original note body.
AgentLocator
Lead Status (Active Buyer, Active Seller, etc.)
Salesforce Sales Cloud
Lead Status + Custom Pick-list
1:1AgentLocator's real estate-specific lead status values such as 'Active Buyer', 'Active Seller', and other transaction-stage designations map to Salesforce's standard Lead Status pick-list where matching values exist. For AgentLocator statuses with no Salesforce equivalent, FlitStack creates a custom pick-list field called Lead_RealEstate_Status__c on the Lead object to preserve the original real estate categorization scheme and ensure no lead classification data is lost during migration.
| AgentLocator | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Lead | Contact1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Contact / Company | Account1:1 | Fully supported | |
| Pipeline Stage | Opportunity StageName1:1 | Fully supported | |
| Saved Search | Custom Object (Property_Search__c)1:1 | Fully supported | |
| Property Interest / IDX Lead | Junction Object (Lead_Property_Interest__j)1:1 | Fully supported | |
| Activity Log (Call, Email, SMS) | Task1:1 | Fully supported | |
| Automated Listing Email / Drip Campaign | N/A (No Equivalent)1:1 | Fully supported | |
| Custom Property (AgentLocator) | Custom Field (__c)1:1 | Fully supported | |
| Owner / Agent | User (OwnerId)1:1 | Fully supported | |
| Attachment / File | ContentDocument / Salesforce Files1:1 | Fully supported | |
| Lead Status (Active Buyer, Active Seller, etc.) | Lead Status + Custom Pick-list1:1 | 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.
AgentLocator gotchas
Annual billing with no refund clause
No public API — migration requires CSV export
Drip campaign automation cannot be exported
Website and IDX/MLS feeds require separate migration
Saved searches are not portable
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
Audit AgentLocator schema and export all standard and custom objects
FlitStack connects to AgentLocator via scoped read access and inventories all objects — Leads, Contacts (if separate), saved searches, property interests, activity logs, and custom properties. We identify which objects have data, which custom fields exist, and which have never been populated. This inventory drives the Salesforce custom field creation list and the object mapping plan. The export runs in read-only mode against AgentLocator's API with field-level sampling to verify data types before transformation logic is written.
Design Salesforce custom object schema for real estate property data
AgentLocator's real estate-specific data (saved searches, IDX property associations, mortgage status, referral partner) has no Salesforce standard equivalent. FlitStack creates a Property__c custom object and a Lead_Property_Interest__j junction object in the target Salesforce org before any data loads. We also pre-create all __c custom fields on Contact, Lead, and Account to match AgentLocator's custom property inventory. Salesforce admin credentials are required for schema creation; we provide a field creation checklist so the admin can pre-approve or pre-create fields if preferred.
Resolve owner and user mapping by email
AgentLocator agent and owner IDs are matched to Salesforce User records by email address. FlitStack runs a pre-flight check comparing the AgentLocator owner email list against Salesforce User emails. Any unmatched owner is flagged with a recommendation to create the Salesforce user before migration or assign a fallback owner. No record is loaded without a resolved OwnerId; unresolved records are held in a staging table until the team confirms Salesforce user provisioning.
Run sample migration with field-level diff on 100–500 records
A representative slice of AgentLocator data — covering contacts, leads, saved searches, property interests, and activity logs — is migrated to a Salesforce sandbox or scratch org. FlitStack generates a field-level diff comparing source values to destination field values, showing every mapped field, transformed value, and dropped field. The team reviews the diff to verify pipeline-stage mapping, property object creation, owner resolution, and custom field population before the full migration is committed. Any mapping corrections are applied before the production run.
Execute full migration with delta-pickup and rollback capability
The full AgentLocator dataset loads into Salesforce via Bulk API, respecting Salesforce API rate limits (100,000 daily + 1,000 per user license) to avoid throttling. A delta-pickup window of 24–48 hours after the main run captures any records modified in AgentLocator during cutover. FlitStack maintains a full audit log of every record created, updated, or skipped. If reconciliation fails — missing relationships, pick-list validation errors, or duplicate detection — one-click rollback reverts the Salesforce org to its pre-migration state while the team resolves the mapping issue and re-runs.
Platform deep dives
AgentLocator
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 AgentLocator and Salesforce Sales Cloud.
Object compatibility
2 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
AgentLocator: Not publicly documented.
Data volume sensitivity
AgentLocator 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 AgentLocator to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.
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