CRM migration
Field-level mapping, validation, and rollback between Lofty and Zoho CRM. We move data and schema; workflows are rebuilt natively in Zoho CRM.
Lofty
Source
Zoho CRM
Destination
Compatibility
12 of 12
objects map 1:1 between Lofty and Zoho CRM.
Complexity
BStandard
Timeline
48–72 hours
Overview
Lofty organizes real estate leads around a People-Properties-Transactions model: contacts live in the People module with real-estate-specific fields like lead source and pipeline stage; properties track listings and status; transactions capture deal terms. Zoho CRM uses a standard Leads-Contacts-Accounts-Deals model with no native real-estate concept, requiring custom fields to capture Lofty's property-level data and a pipeline-stage-to-Deals-stage mapping strategy. FlitStack AI reads Lofty's REST API (with its 90-day query range limit handled through windowed pagination) and writes to Zoho CRM via the Bulk API, preserving foreign-key relationships by migrating Accounts first, then Contacts, then Deals. Lofty's automations, workflow rules, and AI features do not transfer — we export their definitions as a rebuild reference for your Zoho admin. Activity history (calls, emails, meetings) migrates as Tasks and Events linked to the parent Zoho record. FlitStack AI validates field types and pick-list values during the pre-flight stage, flagging any mismatches before the migration run. For Lofty's custom fields, the tool creates identically typed Zoho custom fields, mapping Percentage and Currency types to Number and Currency fields with appropriate formatting. Because Zoho's API credits are consumed per call, the migration leverages batch endpoints to stay within daily limits. The full audit log records every record created, updated, or skipped, enabling post-migration reconciliation.
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 Lofty object lands in Zoho CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Lofty
People
Zoho CRM
Lead
1:1Lofty's People module is the primary contact repository for leads. Each People record maps directly to a Zoho CRM Lead record. The lead's name, email, phone, and source information transfer as standard Lead fields. If a People record has an associated primary Property, the deal linkage is preserved via the Lofty_Property_ID__c custom lookup field.
Lofty
People
Zoho CRM
Contact
1:1Lofty People records that have progressed to a Closed transaction map to Zoho CRM Contacts. This split is based on Lofty's pipeline stage — 'Closed Won' and 'Closed Lost' records land as Contacts with an associated Account. The transformation rule is applied during migration validation.
Lofty
Property
Zoho CRM
Custom Module: Real_Estate_Property__c
1:1Lofty Properties have no direct Zoho CRM equivalent. We create a Zoho custom module named 'Real Estate Property' to receive Property records. The module carries fields for address, listing price, status, property type, and associated owner contact. The custom module API name follows Zoho convention (Real_Estate_Property) with a lookup back to the Contact or Lead.
Lofty
Transaction
Zoho CRM
Deal
1:1Lofty Transactions map directly to Zoho CRM Deals. The deal name, amount, close date, and owner transfer as standard Deal fields. The Lofty transaction status (Active, Pending, Closed Won, Closed Lost) maps to Zoho Deal Stage via a value-mapping table defined in the migration plan before the run.
Lofty
Pipeline Stage
Zoho CRM
Deal Stage
1:1Lofty pipeline stages ('New Lead', 'Showing Scheduled', 'Offer Made', 'Under Contract', 'Closed Won', 'Closed Lost') are mapped value-by-value to Zoho Deal Stage pick-list values. Each Lofty stage receives a corresponding Zoho stage with matching semantic intent. Stage probability values are re-applied from Zoho's default or your custom forecast category settings.
Lofty
Tags
Zoho CRM
Custom field: Lead_Source_Tags__c (Multi-Select)
1:1Lofty Tags attach multiple labels to a People or Property record for segmentation. Since Zoho CRM Leads lack a native multi-select tag field, we create a custom Multi-Select pick-list field (Lead_Source_Tags__c) to store the tag values as comma-separated entries. The original tag list is preserved verbatim.
Lofty
Segments
Zoho CRM
Custom field: Lead_Segment__c (Single-Select)
1:1Lofty Segments categorize leads by grouping type (Buyer, Seller, Investor, etc.). Each Segment name becomes a pick-list value in a custom Single-Select field (Lead_Segment__c) on the Zoho Lead. Multi-segment assignments are resolved by selecting the most recently applied segment or by creating additional custom fields (Segment_2__c, Segment_3__c).
Lofty
Lead Source
Zoho CRM
Lead Source
1:1Lofty Lead Source fields (Website Form, Zillow, Realtor.com, Referral, etc.) map directly to Zoho CRM's Lead Source pick-list. If Lofty sources include values not in Zoho's default list, we extend the Zoho pick-list before migration so no source value is lost.
Lofty
Notes / Activity History
Zoho CRM
Task / Event / Note
1:1Lofty notes attached to People, Properties, or Transactions migrate as Zoho CRM Notes linked to the corresponding Lead, Contact, or Deal. Call logs and meeting records migrate as Zoho Tasks (type 'Call') and Events respectively, preserving the original timestamp, owner, and linked record association.
Lofty
Custom Fields (People)
Zoho CRM
Custom Fields on Lead/Contact
1:1Lofty custom fields on People (Text, Number, Date, Single-Select, Multi-Select, Percentage, Currency) are created as identically typed custom fields on the Zoho Lead and Contact modules. Lofty's Percentage and Currency types map to Zoho's Number field with formatting rules applied. The field API names follow Zoho's no-space convention (Favorite_Color__c).
Lofty
Custom Fields (Property)
Zoho CRM
Custom Fields on Real_Estate_Property__c
1:1Lofty property-specific custom fields (Beds, Baths, Square Footage, MLS Number, HOA Fees, etc.) are created as custom fields on the Zoho Real Estate Property custom module. Numeric fields use Zoho's Number type with appropriate decimal precision; date fields use Zoho's Date type; currency fields use Zoho's Currency type with USD as default.
Lofty
Owner / Agent
Zoho CRM
User
1:1Lofty agent assignments on People and Transactions are resolved by email match against Zoho CRM users. Unmatched owners are flagged before migration — your team either pre-invites them to Zoho or assigns their records to a fallback Zoho user. This ensures no Deal or Lead lands without an owner.
| Lofty | Zoho CRM | Compatibility | |
|---|---|---|---|
| People | Lead1:1 | Fully supported | |
| People | Contact1:1 | Fully supported | |
| Property | Custom Module: Real_Estate_Property__c1:1 | Fully supported | |
| Transaction | Deal1:1 | Fully supported | |
| Pipeline Stage | Deal Stage1:1 | Fully supported | |
| Tags | Custom field: Lead_Source_Tags__c (Multi-Select)1:1 | Fully supported | |
| Segments | Custom field: Lead_Segment__c (Single-Select)1:1 | Fully supported | |
| Lead Source | Lead Source1:1 | Fully supported | |
| Notes / Activity History | Task / Event / Note1:1 | Fully supported | |
| Custom Fields (People) | Custom Fields on Lead/Contact1:1 | Fully supported | |
| Custom Fields (Property) | Custom Fields on Real_Estate_Property__c1:1 | Fully supported | |
| Owner / Agent | 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.
Lofty gotchas
API date-range queries capped at 90 days
64-bit integer IDs risk JavaScript precision loss
Starter tier custom field cap breaks complex schemas
Data export requires $500 fee unless handled during subscription
Documentation site migration disrupts integration references
Zoho CRM gotchas
API access requires Professional tier or above
Subform fields do not export cleanly via CSV
API credit consumption is non-linear
Export download links expire in 7 days
Owner (User) assignments require pre-mapped user IDs
Pair-specific challenges
Migration approach
Audit Lofty data model and export via API with windowed pagination
FlitStack AI connects to Lofty via OAuth 2.0 using your Lofty API credentials. We pull the full People, Property, Transaction, and Activity dataset using windowed pagination (89-day sliding windows) to handle Lofty's 90-day API range limit. All standard and custom fields are inventoried, including field types, pick-list values, and required-field constraints. The audit output includes a Lofty field inventory spreadsheet that serves as the source side of the field mapping document.
Create Zoho CRM schema: custom modules, custom fields, and stage mapping
Before data moves, your Zoho admin (or FlitStack) creates the Real Estate Property custom module, all required custom fields on Leads, Contacts, Deals, and the Property module, and extends the Deal Stage pick-list with Lofty's stage names. We deliver a Zoho setup checklist based on the Lofty field inventory, so your instance is schema-ready when validation runs. This step prevents import errors from missing required fields or unmatched pick-list values.
Resolve owners by email match and validate relationship dependencies
Lofty agent assignments are resolved against Zoho CRM users by email address. Unmatched owners are flagged in a pre-flight report — your team either invites them to Zoho CRM or assigns their records to a fallback owner. Relationship dependencies are validated: Accounts migrate before Contacts, Contacts before Deals, and Properties before Transactions so foreign-key lookups resolve correctly in Zoho. Any circular or missing references are surfaced for manual resolution before the migration run commits.
Run sample migration with field-level diff
A representative slice of 100–300 records — spanning People, Properties, Transactions, and Activities — migrates first into a Zoho sandbox or scratch org. FlitStack AI generates a field-level diff comparing source values against destination values, verifying that custom field mapping, stage value mapping, owner resolution, and lookup linkages are correct. You review the diff and approve before the full migration runs. Any mapping errors discovered at this stage are corrected in the migration plan before the production run.
Execute full migration with delta-pickup and audit log
Full data migration runs against your Zoho CRM production instance via the Bulk API to maximize throughput and minimize API credit consumption. A delta-pickup window (typically 24–48 hours) runs concurrently, capturing any records created or modified in Lofty during the cutover period. FlitStack AI maintains a full audit log of every record created, updated, or skipped. One-click rollback reverts the Zoho instance to its pre-migration state if reconciliation uncovers critical issues.
Platform deep dives
Lofty
Source
Strengths
Weaknesses
Zoho CRM
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 Lofty and Zoho CRM.
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
Lofty: Not publicly documented on developer.lofty.com — we implement exponential backoff and respect 429 responses as rate limit signals.
Data volume sensitivity
Lofty 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 Lofty to Zoho CRM migration scoping. Not seeing yours? Book a call.
Walk through your Lofty to Zoho CRM migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Lofty
Other ways to arrive at Zoho CRM
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.