CRM migration
Field-level mapping, validation, and rollback between LeadManaging and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
LeadManaging
Source
Salesforce Sales Cloud
Destination
Compatibility
12 of 12
objects map 1:1 between LeadManaging and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
48–72 hours
Overview
LeadManaging organizes multifamily leasing data around a single Lead object with properties, unit interests, and communication activity stored as related records. Salesforce Sales Cloud uses a split Lead-and-Contact model with Accounts as the company/property parent, Opportunities for deal-stage tracking, and a separate Activity History model for calls, emails, and meetings. The migration carries every contact field, company field, lead property, and activity from LeadManaging into Salesforce's standard objects and custom fields. FlitStack AI resolves LeadManaging owner emails against Salesforce users, maps lead status values to Salesforce Lead Status pick-lists, and preserves property-level associations as Salesforce Account records. We export LeadManaging workflows and automation rules as JSON for your Salesforce admin to rebuild in Flow — they do not migrate automatically because the execution engines are architecturally incompatible. The migration uses LeadManaging's API for data extraction and Salesforce's Bulk API 2.0 for high-volume loads, with a delta-pickup window capturing any records modified during the cutover window.
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 LeadManaging 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.
LeadManaging
Lead
Salesforce Sales Cloud
Lead
1:1LeadManaging leads map 1:1 to Salesforce Leads for prospects still in the qualification pipeline. Core fields (name, email, phone, status, source) map directly. Salesforce Lead records require a Status pick-list value — FlitStack AI maps LeadManaging lead_status values to Salesforce Lead Status values or flags unmapped statuses for manual review before migration runs.
LeadManaging
Lead (qualified tenants)
Salesforce Sales Cloud
Contact
1:1When a LeadManaging lead reaches 'Lease Signed' status, the record converts to a Salesforce Contact with a link to the corresponding Account (property). The original Lead record is preserved with Original_Lead_ID__c for audit traceability. This conversion rule is configurable — your team specifies the status threshold for Contact vs. Lead routing before migration begins.
LeadManaging
Property / Company
Salesforce Sales Cloud
Account
1:1LeadManaging properties map to Salesforce Account records. The Account Name holds the property name, Website maps from the property's web presence, and industry is set to 'Real Estate' by default. LeadManaging's property hierarchy (parent property / child building) maps to Salesforce Account.ParentId for orgs with multi-building portfolios.
LeadManaging
Unit / Unit Record
Salesforce Sales Cloud
Account (child) or Custom Object
1:1LeadManaging units within a property require a mapping decision: either as a custom Units__c field on the Account (for simple count/rent tracking) or as a separate Unit__c custom object with a lookup to Account if detailed unit-level fields (bed/bath, floor, rent, vacancy status) need to be preserved. FlitStack surfaces this choice during discovery and delivers both options in the migration plan.
LeadManaging
Lead Status
Salesforce Sales Cloud
Lead.Status
1:1LeadManaging's lead_status pick-list values (New, Contacted, Qualified, Lease Signed, Lost) map to Salesforce Lead Status values. Each Salesforce Sales Process has its own Status pick-list — if your org uses multiple Sales Processes or Record Types, value mapping is scoped per process. Unmapped values are flagged and must be resolved in Salesforce Setup before the migration validates.
LeadManaging
Lead Source
Salesforce Sales Cloud
Lead.LeadSource
1:1LeadManaging's lead_source field (Organic, Paid Search, Referral, Walk-in, and any other custom values) maps to Salesforce Lead.LeadSource pick-list. When LeadManaging contains custom source values that don't exist in Salesforce's defaults, each requires explicit value-by-value mapping to either an existing pick-list option or a custom Lead_Source_Detail__c field to preserve all attribution data without truncation. The chosen approach is documented in the mapping spreadsheet and confirmed before migration execution.
LeadManaging
Activity (Call, Email, Note)
Salesforce Sales Cloud
Task
1:1LeadManaging call logs, emails, and notes map to Salesforce Task records with Type='Call', Type='Email', or Type='Other' respectively. FlitStack AI preserves the original subject line, description body, activity date, and owner by mapping to Task.Subject, Task.Description, Task.ActivityDate, and Task.OwnerId. Tasks are linked to the Salesforce Lead or Contact via WhoId.
LeadManaging
Activity (Meeting / Tour)
Salesforce Sales Cloud
Event
1:1LeadManaging property tour records map to Salesforce Event with Subject='Property Tour', StartDateTime, EndDateTime, and Location preserved. FlitStack AI maps the event description to Event.Description and links the Event to the Salesforce Lead or Contact via WhoId. All-day events in LeadManaging become Salesforce Events with All-Day Event=true.
LeadManaging
Attachment / File
Salesforce Sales Cloud
ContentDocument / Attachment
1:1LeadManaging file attachments (lease applications, ID scans, property photos) are downloaded and re-uploaded to Salesforce Files (ContentDocument/ContentVersion model). Files are linked to the relevant Salesforce Lead, Contact, or Account record via ContentDocumentLink. Salesforce's 25MB per-file limit is enforced — files exceeding this are flagged for manual handling.
LeadManaging
Lead Owner / Agent
Salesforce Sales Cloud
Lead.OwnerId / Contact.OwnerId
1:1LeadManaging's assigned leasing agent resolves to a Salesforce User by email match. Unmatched owners (agents who will not have Salesforce licenses) are flagged before migration — your team either creates their Salesforce User record first or reassigns their leads to a fallback owner. No record lands without a valid OwnerId.
LeadManaging
Custom Field (Lead)
Salesforce Sales Cloud
Custom Field (Lead or Account)
1:1LeadManaging custom fields on Lead records (e.g., 'Move-in Date', 'Lease End Date', 'Bedroom Preference', 'Budget Range') map to Salesforce custom fields using the __c suffix convention. FlitStack AI creates the field in Salesforce Setup, applies the correct data type (Date, Number, Text), and maps values during migration. Custom field count is the primary driver of migration complexity.
LeadManaging
Workflow / Automation
Salesforce Sales Cloud
Salesforce Flow (manual rebuild)
1:1LeadManaging workflow rules, email sequences, and task-assignment automations do not have a Salesforce equivalent because the execution engine is architecturally different. FlitStack AI exports your LeadManaging automation definitions as a structured JSON reference document your Salesforce admin uses to rebuild equivalent Flows after go-live. This is always a manual step — we surface exactly what was configured so nothing is silently dropped.
| LeadManaging | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Lead | Lead1:1 | Fully supported | |
| Lead (qualified tenants) | Contact1:1 | Fully supported | |
| Property / Company | Account1:1 | Fully supported | |
| Unit / Unit Record | Account (child) or Custom Object1:1 | Fully supported | |
| Lead Status | Lead.Status1:1 | Fully supported | |
| Lead Source | Lead.LeadSource1:1 | Fully supported | |
| Activity (Call, Email, Note) | Task1:1 | Fully supported | |
| Activity (Meeting / Tour) | Event1:1 | Fully supported | |
| Attachment / File | ContentDocument / Attachment1:1 | Fully supported | |
| Lead Owner / Agent | Lead.OwnerId / Contact.OwnerId1:1 | Fully supported | |
| Custom Field (Lead) | Custom Field (Lead or Account)1:1 | Fully supported | |
| Workflow / Automation | Salesforce Flow (manual rebuild)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.
LeadManaging gotchas
No public REST API for automated exports
Custom field discovery requires manual inventory
Pipeline stage names are not standardized
Attachment and file storage not accessible via export
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
Inventory LeadManaging data and audit custom field definitions
FlitStack AI connects to LeadManaging's API and exports a complete record of all standard and custom fields across every object. We generate a Data Dictionary comparing your LeadManaging field names, data types, and pick-list values against Salesforce's standard field registry. This inventory identifies which fields have direct Salesforce equivalents, which require custom field creation, and which pick-list values need explicit mapping. The audit also counts total records per object and flags records with missing required fields (e.g., leads with no email address) so your team cleanses data before migration rather than during it.
Create Salesforce custom fields and configure pick-list value mappings
Before any data loads, your Salesforce admin (or FlitStack AI via your org's API) creates all custom fields identified in the inventory — Move_In_Date__c, Bedroom_Preference__c, Lead_Score__c, and any Lead_Property__c junction object required for multi-property associations. FlitStack AI delivers a Salesforce Setup checklist with exact field names, API names, data types, and pick-list values to add. Pick-list value mappings are applied via the Salesforce Metadata API, ensuring that LeadManaging's exact status labels appear in Salesforce without manual data entry.
Resolve owner emails and map lead owners to Salesforce users
FlitStack AI extracts the owner_email field from every LeadManaging record and matches it against your Salesforce User table by email. The resolution report lists matched users (migration proceeds), unmatched users (your team creates Salesforce accounts or reassigns records), and duplicate email conflicts. No record is inserted without a resolved OwnerId — this prevents the common migration failure where records land with the system admin as owner and require costly post-migration re-assignment. Owner resolution is completed and approved before the migration batch begins.
Run sample migration with field-level diff across all object types
A representative slice of 100–500 records — covering new leads, qualified leads, signed leases, and activity history — is migrated to a Salesforce sandbox first. FlitStack AI generates a field-level diff comparing each source field against the destination field, flagging any value that was truncated, reformatted, or dropped. The diff report is reviewed with your team before the full run commits. This step is the last chance to adjust value mappings, fix pick-list gaps, or revise the lead-to-contact routing threshold without affecting production data.
Execute full migration with delta-pickup and post-load reconciliation
The full migration loads in this order: Accounts (property records first, since Leads reference them via Company), then Leads, then Tasks and Events. A delta-pickup window — typically 24–48 hours — captures any records created or modified in LeadManaging during the cutover period. FlitStack AI generates a reconciliation report comparing record counts, field counts, and a random sample of field values between source and destination. One-click rollback is available if reconciliation fails. The exported LeadManaging workflow JSON is delivered alongside the reconciliation report.
Platform deep dives
LeadManaging
Source
Strengths
Weaknesses
Salesforce Sales Cloud
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 LeadManaging and Salesforce Sales Cloud.
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
LeadManaging: Not publicly documented.
Data volume sensitivity
LeadManaging 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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