CRM migration
Field-level mapping, validation, and rollback between Lofty and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Lofty
Source
Freshsales
Destination
Compatibility
10 of 10
objects map 1:1 between Lofty and Freshsales.
Complexity
BStandard
Timeline
48–72 hours
Overview
Lofty is a real estate–centric CRM built around agents, leads, and property-related pipeline stages. Freshsales is a general SMB CRM that organizes data around Leads, Contacts, Accounts, and Opportunities with lifecycle stage tracking and Freddy AI scoring on Pro and above. The two platforms share a contact-centric model, but Lofty's agent-assignment paradigm, real estate pipeline stages, and tag/segment taxonomy do not map directly to Freshsales' standard objects. FlitStack AI extracts Lofty data via its REST API v2.0 — handling the 90-day pagination window for large datasets — and loads it into Freshsales via the Contacts API, Accounts API, and Opportunities API, matching owners by email. Lofty workflows, automation rules, and sequence configurations do not transfer and must be rebuilt in Freshsales' Workflows module. Custom fields translate field-by-field with type-aware mapping. A sample migration with field-level diff runs first so you can verify deal stage mapping and owner resolution before the full cutover.
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 Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Lofty
People / Contact
Freshsales
Contact
1:1Lofty People records are migrated directly to Freshsales Contacts, using email as the primary deduplication key. Standard fields such as phone, mobile, job title, and address transfer as‑is, and any custom fields are created in Freshsales before load. People lacking a linked Company become unlinked Contacts, while owner assignment is resolved by email matching to Freshsales users.
Lofty
Lead (Lofty inbound)
Freshsales
Lead
1:1Lofty inbound Leads are migrated to Freshsales Leads when they have not yet been converted to People. The Lead Source, Lead Status, and any custom fields are transferred directly, and owner resolution is performed by matching the agent email to a Freshsales user. Leads that share an email with an existing People record are reconciled to the Contact deduplication key, preventing duplicate Contact creation during migration.
Lofty
Company
Freshsales
Account
1:1Lofty Company records become Freshsales Accounts with direct transfer of name, website/domain, industry, employee count, and annual revenue. Billing address components such as street, city, state, and country map to the Account's billing address fields. Parent‑child hierarchies are resolved by creating the parent Account first and then linking child Accounts via the Parent Account lookup; any circular references are flagged for manual review.
Lofty
Deal / Pipeline Stage
Freshsales
Opportunity + Deal (Freshsales)
1:1Lofty Deals map to Freshsales Opportunities with deal name → Opportunity Name, amount → Amount, close date → Close Date, and pipeline stage → deal status. Freshsales pipeline and stage names are configured to match Lofty's stage labels. Each Lofty pipeline maps to one Freshsales pipeline.
Lofty
Pipeline Stage
Freshsales
Deal Status (Freshsales)
1:1Each Lofty pipeline stage label (e.g., Showing Scheduled, Offer Made, Under Contract) is assigned a corresponding Freshsales deal status value in the matching pipeline. During migration, FlitStack creates the Freshsales pipeline with the same name and configures each stage with an explicit probability and forecast category. Stages that have no exact counterpart are created as custom status values, ensuring no deal loses its original workflow classification.
Lofty
Lifecycle Stage
Freshsales
Lifecycle Stage (Freshsales Contact)
1:1Lofty lifecycle stage values are translated into Freshsales Lifecycle Stage pick‑list entries on the Contact record on a one‑to‑one basis. For example, Lofty's Active Lead maps to Freshsales Lead, while Client maps to Customer, and other states follow the same logic. If a Lofty lifecycle value has no matching Freshsales option, FlitStack creates a custom pick‑list entry so that no contact loses its original status after migration.
Lofty
Custom Field (text, number, currency, date, picklist)
Freshsales
Custom Field
1:1Lofty custom fields on People, Companies, and Deals are reproduced in Freshsales as custom fields on the matching objects. FlitStack pre‑creates each field in Freshsales using the same data type—currency fields become Freshsales Currency, single‑select become Picklist, and multi‑select become Multi‑select. Default values, pick‑list options, and field help text are also transferred where present, ensuring consistency across the schema.
Lofty
Activity (call, email, meeting, note)
Freshsales
Sales Activity
1:1Lofty communication activities are migrated as follows: calls and emails become Freshsales Sales Activities with the Type field set to Call or Email, preserving the original date and duration where available. Meetings are transferred to Freshsales Meetings, retaining start time, end time, location, and any custom fields. Notes are moved to Freshsales Notes with their original timestamps, and the owning user is resolved by email matching to a Freshsales user, ensuring attribution in reporting.
Lofty
Tag / Segment
Freshsales
Custom Field (multi-select) or Territory
1:1Lofty tags are migrated as a custom multi‑select field on the Contact record, preserving each tag as an option. Because Freshsales lacks a native tag taxonomy, the tag field does not appear in standard list views but is filterable via custom reports. Lofty segments that encode geographic regions or team assignments are translated into Freshsales Territory rules where supported; dynamic segment logic must be rebuilt as Freshsales Workflows after migration.
Lofty
Agent / Owner
Freshsales
User (Owner)
1:1Lofty agents map to Freshsales users matched by email address. If a Lofty agent has no matching Freshsales user, records are assigned to a fallback owner or a placeholder User record is created. Agent-level permissions do not transfer — Freshsales profile and role assignments are configured separately.
| Lofty | Freshsales | Compatibility | |
|---|---|---|---|
| People / Contact | Contact1:1 | Fully supported | |
| Lead (Lofty inbound) | Lead1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal / Pipeline Stage | Opportunity + Deal (Freshsales)1:1 | Fully supported | |
| Pipeline Stage | Deal Status (Freshsales)1:1 | Fully supported | |
| Lifecycle Stage | Lifecycle Stage (Freshsales Contact)1:1 | Fully supported | |
| Custom Field (text, number, currency, date, picklist) | Custom Field1:1 | Fully supported | |
| Activity (call, email, meeting, note) | Sales Activity1:1 | Fully supported | |
| Tag / Segment | Custom Field (multi-select) or Territory1:1 | Fully supported | |
| Agent / Owner | User (Owner)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.
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
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
Extract Lofty data via REST API v2.0 with 90-day chunking
FlitStack connects to Lofty using OAuth 2.0 or API key credentials and begins extracting People, Companies, Deals, Leads, Activities, and custom field definitions. Because Lofty's API enforces a 90-day maximum query window, extraction runs in overlapping 90-day chunks for datasets spanning more than 90 days. All entity IDs are stored as strings to preserve the full 64-bit integer precision. The Lofty custom field schema (field names, data types, and pick-list values) is captured before record extraction so Freshsales custom fields can be pre-created with matching types.
Pre-create Freshsales custom fields and configure pipelines
Before records are loaded, FlitStack creates all required custom fields in Freshsales on the Lead, Contact, Account, and Opportunity objects using the Freshsales Custom Fields API. Pipeline names and stage definitions are configured to match Lofty's pipeline and stage labels as closely as possible. Owner resolution runs concurrently: Lofty agent emails are matched against Freshsales users, and unmatched agents are flagged so your team can either invite them to Freshsales or designate a fallback owner before the migration loads.
Run a sample migration with field-level diff
A representative slice — typically 100–500 records spanning Leads, Contacts, Accounts, Opportunities, and a few activity records — migrates into Freshsales first. FlitStack generates a field-level diff showing every source field, its destination value in Freshsales, and any transformation applied. You review the diff to confirm lifecycle stage mapping, deal status mapping, owner resolution, and custom field population before the full migration run is authorized.
Execute full migration with delta-pickup window
The full dataset loads into Freshsales via the Contacts, Accounts, and Opportunities API endpoints, with tag data written to the custom multi-select field. A delta-pickup window of 24–48 hours runs concurrently with your final days in Lofty, capturing any records created or modified during the cutover. After the delta window closes, a final reconciliation report compares record counts and field completeness against the Lofty source. FlitStack generates an audit log of every operation, and one-click rollback is available if reconciliation reveals data integrity issues.
Platform deep dives
Lofty
Source
Strengths
Weaknesses
Freshsales
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 Lofty and Freshsales.
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
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 Freshsales migration scoping. Not seeing yours? Book a call.
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