CRM migration
Field-level mapping, validation, and rollback between LeadManaging and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
LeadManaging
Source
Freshsales
Destination
Compatibility
10 of 10
objects map 1:1 between LeadManaging and Freshsales.
Complexity
BStandard
Timeline
48–72 hours
Overview
Teams migrate from LeadManaging to Freshsales when they have outgrown a leasing-specific tool and need a full CRM with automation, territory management, and advanced reporting. LeadManaging organizes leads and property associations; Freshsales splits records into Lead, Contact, Account, and Deal objects with a native lifecycle-stage model and Freddy AI scoring. FlitStack AI connects to LeadManaging's data export and Freshsales's REST API to extract records in bulk, transform property-centric fields into Freshsales custom fields, and load them in dependency order. We map lead names, emails, phone numbers, and addresses directly; LeadManaging lifecycle statuses map to Freshsales's built-in lifecycle stages plus a custom Original_Status__c field for reference; lead scores migrate as a custom Number field compatible with Freddy AI re-scoring. Property and unit associations — which have no Freshsales native equivalent — become custom text fields on the Lead record. We run a test migration first, surface a field-level diff, then execute the full migration with a delta-pickup window so your team keeps working in LeadManaging through go-live.
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 Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
LeadManaging
Lead
Freshsales
Lead
1:1LeadManaging leads map directly to Freshsales Leads. Names, emails, phone numbers, and addresses transfer directly without transformation. LeadManaging's custom status field maps to Freshsales lifecycle stages by closest semantic match. We preserve the original LeadManaging status value in a custom text field called Original_Status__c for historical reference and reporting continuity after migration.
LeadManaging
Lead (property-linked)
Freshsales
Account
1:1LeadManaging organizes leads by property — the property name and address need a destination in Freshsales. We create a Freshsales Account record per unique property and link the Lead to it, so the property context is preserved and queryable under Accounts.
LeadManaging
Lead (contact info)
Freshsales
Contact
1:1LeadManaging lead contact details (name, email, phone, address) map directly to Freshsales Contact fields when leads are qualified and converted. Contact records are created at the point of lead conversion or during migration for leads already at a customer stage.
LeadManaging
Lead Status
Freshsales
Contact Lifecycle Stages
1:1LeadManaging uses custom leasing statuses (New Inquiry, Touring, Applied, Approved, Leased, Dead). We map each value to the nearest Freshsales lifecycle stage (Subscriber, Lead, MQL, Customer) and preserve the original LeadManaging value in a custom text field for reporting continuity.
LeadManaging
Lead Score
Freshsales
Contact / Lead (custom number field)
1:1LeadManaging stores a numeric lead_score on each lead. Freshsales Growth ($9/user/mo) has no native scoring capability; Freddy AI (available on Pro/Enterprise) generates its own independent scores. We migrate the existing score as a custom Number field called Lead_Score_LM__c, allowing teams to compare historical LeadManaging scores against Freddy AI output without data loss.
LeadManaging
Property
Freshsales
Account (custom fields)
1:1LeadManaging is built around properties — each lead is tied to a specific property and unit. Freshsales has no native property object. We store property name as Property_Name__c and unit/unit number as Unit_Number__c on the linked Account record, preserving the leasing context.
LeadManaging
Lead (deal/lease amount)
Freshsales
Deal
1:1LeadManaging records carry a lease_amount field. We migrate this as a Freshsales Deal with the amount field populated. If the team uses Freshsales multiple pipelines, we create a 'Leasing Pipeline' as the destination pipeline and set stage values that reflect the LeadManaging lifecycle stages.
LeadManaging
Engagement (call, email, meeting, note)
Freshsales
Sales Activity / Task / Event
1:1LeadManaging activity history including calls logged, emails sent, meetings scheduled, and notes attached migrates to Freshsales Sales Activities. Original timestamps, owner assignments, and parent-record links are preserved throughout the migration. Freshsales stores these as Tasks (calls, emails, notes) and Events (meetings) with full field fidelity.
LeadManaging
Custom Field (LeadManaging-specific)
Freshsales
Custom Field on Lead / Account
1:1LeadManaging custom fields that have no Freshsales native equivalent (such as referral_source_detail and leasing_agent_assigned) become Freshsales custom fields. We create the target field in Freshsales first, then migrate values using direct load. Multi-select pick-list values require value-by-value mapping to ensure all options transfer correctly.
LeadManaging
User / Owner
Freshsales
User
1:1LeadManaging owner IDs resolve to Freshsales users by email match. Unmatched owners are flagged before migration — teams either invite the user to Freshsales first or assign records to a fallback owner. No record lands without a valid Freshsales owner reference.
| LeadManaging | Freshsales | Compatibility | |
|---|---|---|---|
| Lead | Lead1:1 | Fully supported | |
| Lead (property-linked) | Account1:1 | Fully supported | |
| Lead (contact info) | Contact1:1 | Fully supported | |
| Lead Status | Contact Lifecycle Stages1:1 | Fully supported | |
| Lead Score | Contact / Lead (custom number field)1:1 | Fully supported | |
| Property | Account (custom fields)1:1 | Fully supported | |
| Lead (deal/lease amount) | Deal1:1 | Fully supported | |
| Engagement (call, email, meeting, note) | Sales Activity / Task / Event1:1 | Fully supported | |
| Custom Field (LeadManaging-specific) | Custom Field on Lead / Account1:1 | Fully supported | |
| User / Owner | User1:1 | 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
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
Audit LeadManaging custom fields and Freshsales schema requirements
We export a full field inventory from LeadManaging — standard fields, custom fields, and pick-list values — and compare it against your target Freshsales account's existing schema. We identify which LeadManaging fields need Freshsales custom fields created, which pick-list values need value-mapping rules, and whether the Leasing Pipeline and its stage values exist in Freshsales. This audit produces a schema setup checklist that your Freshsales admin (or our team) completes before data moves.
Resolve owners and users by email match
LeadManaging owner IDs are resolved to Freshsales users by matching the email address on each record. Before migration begins, we run an owner-resolution pass that identifies any LeadManaging owner without a corresponding Freshsales user account. Your team can then either invite those users to join Freshsales or assign their records to a fallback owner designated for migration. No record is loaded into Freshsales without a valid owner reference, which is required for Activity records and Deal assignment to function correctly after migration.
Create Accounts first, then migrate Leads and link them
Freshsales requires Accounts to exist before Leads can link to them via lookup fields. We sequence the migration so unique properties from LeadManaging are created as Freshsales Accounts first, with property name, address, and Property_Name__c custom field populated. Lead records then migrate in a second pass and are linked to the corresponding Account by property name match. This two-pass approach ensures the Account lookup resolves correctly on every Lead record.
Run a sample migration with field-level diff
We run a representative sample migration — typically 100–500 records covering leads, accounts, deals, and activities — before committing the full dataset. The sample generates a field-level diff that shows every source field value alongside its destination field value, so you can verify lifecycle-stage mapping, property field population, deal stage routing, and owner resolution. Any mapping errors or data-quality issues surface in the sample phase and get corrected before the full migration runs.
Execute full migration with delta-pickup window
The full migration runs against your Freshsales account. A delta-pickup window (typically 24–48 hours) captures any LeadManaging records created or modified during the cutover so Freshsales reflects the final state at go-live. An audit log records every operation, and one-click rollback is available if reconciliation identifies record count or field-value discrepancies. Your team continues working in LeadManaging throughout the window.
Platform deep dives
LeadManaging
Source
Strengths
Weaknesses
Freshsales
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 Freshsales.
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
Answers to the questions buyers ask most during LeadManaging to Freshsales migration scoping. Not seeing yours? Book a call.
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