CRM migration
Field-level mapping, validation, and rollback between Lofty and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Lofty
Source
Salesforce Sales Cloud
Destination
Compatibility
11 of 12
objects map 1:1 between Lofty and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
48–72 hours
Overview
Lofty (formerly Chime) is a real estate CRM built for agents and small brokerages, organizing data around Leads with property associations, pipeline stages, and agent workflows. Salesforce Sales Cloud structures data around the Account-Contact-Lead-Opportunity model, where Leads convert to Contacts and Opportunities carry the deal record with StageName, CloseDate, Amount, and RecordTypeId. The migration carries everything Lofty stores natively — leads, agents, custom fields, activity history — into Salesforce's object model. The harder problems are translating Lofty's property-attached lead associations into Salesforce's multi-object relationships, mapping Lofty's pipeline stages to Salesforce Opportunity stages with probability and forecast category, handling Lofty's multi-select custom fields in Salesforce pick-lists, and resolving Lofty agent owners to Salesforce users by email match. We handle custom field creation in Salesforce (fields with __c suffix), value-by-value pick-list mapping for stage names, and owner resolution before migration commits. Workflows, sequences, and automated lead routing do not migrate — those must be rebuilt in Salesforce Flow or a third-party tool, and we export the definitions as a rebuild reference.
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 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.
Lofty
Lead
Salesforce Sales Cloud
Lead
1:1Lofty's primary record is the Lead object, which maps directly to Salesforce Lead with a one-to-one correspondence. Lofty's agent owner field resolves to Salesforce OwnerId through email address matching against existing Salesforce users. Property associations attached to Lofty leads require custom handling through a junction object — see the property mapping section below for the complete transformation approach.
Lofty
Lead
Salesforce Sales Cloud
Contact
1:manyLofty leads that have reached a closed status (stage equals Closed Won or Closed Lost) can route directly to Salesforce Contact records. Agents who manage ongoing deals remain as Salesforce Leads until they are qualified and converted through Salesforce's standard Lead conversion process. This decision rule applies based on the final Lofty stage value captured at the time of migration.
Lofty
Lead (property associations)
Salesforce Sales Cloud
Account + Custom Property Object + Junction
1:1Lofty property associations attach a property record directly to a lead through a linking table. In Salesforce, each property becomes both a Salesforce Account (representing the brokerage or property entity) and optionally a custom Property__c object, with a junction table named LeadProperty__c that connects the property to Salesforce Leads through lookups on both sides.
Lofty
Pipeline Stage
Salesforce Sales Cloud
Opportunity StageName
1:1Lofty pipeline stage values map to Salesforce Opportunity StageName pick-list values through a value-by-value mapping approach. Each stage maps to a corresponding Salesforce stage with associated probability percentage and forecast category assignment. Lofty's custom stage names such as Showing, Offer, and others require pick-list value creation in Salesforce Setup before the mapping can be applied during migration.
Lofty
Pipeline
Salesforce Sales Cloud
Sales Process + Record Type
1:1Lofty's pipeline construct, which organizes leads through sequential stages, maps to Salesforce's combination of Sales Process and Record Type. Each distinct Lofty pipeline becomes a Salesforce Record Type on the Opportunity object, with its own Sales Process that controls which StageName values are available for selection at each stage of the sales cycle.
Lofty
Custom Field (single-select)
Salesforce Sales Cloud
Custom Pick-list Field (__c)
1:1Lofty single-select custom fields migrate to Salesforce custom pick-list fields using the __c API name suffix. Field values map one-to-one with no transformation required. The new pick-list field must be created in the target Salesforce org before migration begins, with all allowed pick-list values defined in Salesforce Setup to match the source Lofty field values exactly.
Lofty
Custom Field (multi-select)
Salesforce Sales Cloud
Custom Multi-Select Pick-list Field (__c)
1:1Lofty multi-select fields migrate to Salesforce Multi-Select Pick-list fields that store values as semicolon-separated strings within a single field. Important limitation: Multi-Select Pick-lists cannot be used as dependent pick-lists dependent on other fields, and they cannot be referenced in some formula field contexts or certain workflow criteria, which may require alternative field architecture design.
Lofty
Custom Field (currency)
Salesforce Sales Cloud
Custom Currency Field (__c)
1:1Lofty currency fields migrate to Salesforce custom currency fields that require setting the target Salesforce org's currency ISO code (such as USD, EUR, or GBP) in Setup before migration commences. Currency amount values transfer as-is with their original decimal precision preserved, and the field displays using the org's configured currency format settings.
Lofty
Custom Field (number, date, percentage, text)
Salesforce Sales Cloud
Custom Number/Date/Percent/Text Field (__c)
1:1Lofty number, percentage, date, and text custom fields map directly to Salesforce custom fields of their equivalent data type. Salesforce text field length must be set to accommodate the maximum Lofty source field values, noting that standard Salesforce text fields have a maximum length of 255 characters unless configured as Long Text Area fields with up to 131,072 characters.
Lofty
Activity (call, email, meeting, note)
Salesforce Sales Cloud
Task / Event / Note
1:1Lofty activity history encompassing calls, emails, meetings, and notes migrates to Salesforce as Tasks (for calls and emails), Events (for scheduled meetings), and Notes objects (for text notes). Original creation timestamps and original owner IDs are preserved during migration to maintain complete activity history and accountability tracking.
Lofty
Agent (owner)
Salesforce Sales Cloud
User
1:1Lofty agents resolve to Salesforce users through email address matching against the target Salesforce org's user records. Any unmatched agents are flagged in a pre-migration report with their record counts — your team must either create corresponding Salesforce user accounts or assign those records to a designated fallback owner to prevent OwnerId null errors during the migration insert operations.
Lofty
Tag / Segment
Salesforce Sales Cloud
Custom Field or Campaign Member
1:1Lofty tags and segments have no direct Salesforce equivalent native object or field type. We preserve the original tag data as a multi-select custom field on the Lead record for reference and historical preservation. Any segmentation logic or dynamic list membership based on tags must be rebuilt using Salesforce Campaigns, Campaign Member statuses, or custom report filter criteria.
| Lofty | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Lead | Lead1:1 | Fully supported | |
| Lead | Contact1:many | Fully supported | |
| Lead (property associations) | Account + Custom Property Object + Junction1:1 | Fully supported | |
| Pipeline Stage | Opportunity StageName1:1 | Fully supported | |
| Pipeline | Sales Process + Record Type1:1 | Fully supported | |
| Custom Field (single-select) | Custom Pick-list Field (__c)1:1 | Fully supported | |
| Custom Field (multi-select) | Custom Multi-Select Pick-list Field (__c)1:1 | Fully supported | |
| Custom Field (currency) | Custom Currency Field (__c)1:1 | Fully supported | |
| Custom Field (number, date, percentage, text) | Custom Number/Date/Percent/Text Field (__c)1:1 | Fully supported | |
| Activity (call, email, meeting, note) | Task / Event / Note1:1 | Fully supported | |
| Agent (owner) | User1:1 | Fully supported | |
| Tag / Segment | Custom Field or Campaign Member1:1 | 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
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
Extract Lofty data via paginated API with overlapping date windows
FlitStack AI connects to Lofty's Open API v2.0 using OAuth 2.0 authentication. We extract all leads, agents, custom field definitions, property records, activity history, and tag data in paginated batches. For historical data exceeding Lofty's 90-day query window, we run overlapping sequential windows (e.g., 0–89 days, 60–149 days) and deduplicate on the back end. All 64-bit entity IDs are handled as strings to prevent JavaScript precision loss. The extraction produces a normalized intermediate schema before any Salesforce mapping begins.
Design Salesforce schema: custom fields, junction objects, record types
Before any data loads, we create Salesforce custom fields (__c suffix), custom objects, and junction objects based on the object_mapping plan. Multi-select pick-lists, custom currency fields, and date fields are created with correct types. The LeadProperty__c junction object is created with lookups to Lead and Account (or Property__c). We deliver a schema setup checklist your Salesforce admin can execute, or our team handles it directly. Record types and Sales Processes are set up if your Lofty setup uses multiple pipelines.
Resolve Lofty agents to Salesforce users by email match
We extract Lofty agent records and match agent IDs to Salesforce users by email address. Unmatched agents are flagged in a pre-migration report with their record counts. Your team either creates corresponding Salesforce users, imports them via Salesforce Data Loader, or designates a fallback owner. No data moves until OwnerId resolution is complete — this prevents hard failures during insert operations where OwnerId cannot be null.
Run sample migration with field-level diff on 100–500 records
A representative slice of records migrates first: leads from different pipeline stages, records with multi-select fields, property-attached leads, and records with activity history. We generate a field-level diff comparing source Lofty values against Salesforce field values, showing every mapped field, transformed value, and any truncation or format changes. You verify stage mapping, property linkage, owner resolution, and custom field preservation before the full run commits.
Execute full migration with delta-pickup window for in-flight changes
The full migration loads leads, properties, custom fields, activity history, and junction records into Salesforce. A delta-pickup window (24–48 hours after initial load) captures any records created or modified in Lofty during cutover. All operations are logged to an audit trail with source record ID, destination record ID, operation type, and timestamp. One-click rollback reverts all Salesforce changes to the pre-migration state if reconciliation uncovers data quality issues.
Deliver migration audit log, reconciliation report, and rebuild reference
Post-migration, we deliver a full audit log mapping every Lofty record to its Salesforce counterpart, a reconciliation report showing record counts by object and any records that skipped or errored, and an export of Lofty workflow definitions (as JSON) for your Salesforce admin to reference when rebuilding automations in Flow. Reports and dashboards are not migrated — underlying data is available for you to build new reports in Salesforce Reports & Dashboards or Tableau.
Platform deep dives
Lofty
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 Lofty 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
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 Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.
Walk through your Lofty to Salesforce Sales Cloud migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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