CRM migration
Field-level mapping, validation, and rollback between Lofty and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Lofty
Source
HighLevel
Destination
Compatibility
14 of 14
objects map 1:1 between Lofty and HighLevel.
Complexity
BStandard
Timeline
48–72 hours
Overview
Lofty and HighLevel both operate as all-in-one CRMs but with fundamentally different data models. Lofty centers its object graph around Leads (called People), Companies, and Deals, with a 350 custom-field ceiling across seven types (50 per type, or 10 on Starter). HighLevel separates Contacts from Companies, supports unlimited tags with many-to-many relationships, and exposes Opportunities tied to customizable pipeline stages with probability-weighted forecasting. The migration carries every record Lofty stores — contacts, companies, deals, tasks, notes, tags, and custom field values — into their HighLevel equivalents. HighLevel's custom objects feature (Enterprise tier) maps directly to Lofty's custom field structures. The harder problems are reconciling Lofty's full-name contact field against HighLevel's first-name/last-name split, preserving historical activity records that require a custom activity log in HighLevel, and managing the 90-day API pagination windows Lofty enforces when exporting large historical datasets. Workflows, sequences, and automations are data-layer constructs only — they must be rebuilt manually in HighLevel's Workflow Builder using Lofty's exported definitions as a reference guide.
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 HighLevel, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Lofty
Contact (People / Lead)
HighLevel
Contact
1:1Lofty stores first_name and last_name as distinct properties for each contact record, while HighLevel requires separate FirstName and LastName fields on its Contact object. During the export phase, our migration pipeline splits Lofty's name fields and validates the data for formatting consistency before merging them into the appropriate HighLevel contact fields. Standard email, phone, and address fields map directly without requiring transformation.
Lofty
Company
HighLevel
Company
1:1Lofty's Company object transfers directly to HighLevel's Company object on a one-to-one basis. All standard fields including company name, website domain, physical address details, and industry classification map without modification. Multi-location company structures in Lofty that use parent-child relationships are preserved using HighLevel's company hierarchy feature, maintaining the organizational structure throughout the migration.
Lofty
Deal
HighLevel
Opportunity
1:1Lofty deal records map directly to HighLevel Opportunity records. The deal name, monetary amount, current pipeline stage, expected close date, and assigned owner all transfer without transformation. Lofty pipeline names and their associated stage configurations are pre-created in HighLevel using identical naming conventions before any deal records are loaded into the system.
Lofty
Deal Stage
HighLevel
Pipeline Stage
1:1Lofty pipeline stage names require individual value-by-value mapping to their corresponding HighLevel stage names within the matching pipeline configuration. Stage probability weightings defined in Lofty are preserved either through HighLevel's native probability fields if available, or stored as custom numeric fields to maintain accurate deal forecasting data throughout the transition.
Lofty
Tag
HighLevel
Tag
1:1Lofty tags migrate to HighLevel as native tags on the appropriate record types, maintaining a one-to-one correspondence. Tags that span multiple record types in Lofty retain their associations in HighLevel by applying the same tags to corresponding record types. All tags intended for segmentation and workflow trigger purposes are pre-created in HighLevel before migration execution to ensure proper functionality.
Lofty
Custom Field (Text, Number, Currency, Date)
HighLevel
Custom Field
1:1Lofty's seven custom field types encompassing Text, Date, Number, Currency, Single-Select, Multi-Select, and Percentage require identical pre-creation in HighLevel before any records containing those fields can be imported. Lofty Starter-tier accounts with a 10-field per-type ceiling necessitate priority-based field selection, while paid-tier accounts approaching the 50-per-type limit require careful migration sequencing to prevent field overflow issues.
Lofty
Note / Activity Log
HighLevel
Activity Log (Custom)
1:1Lofty's note content and timestamped activity log entries including phone calls, email exchanges, and SMS messages have no direct equivalent in HighLevel's native data model. We resolve this by creating custom text-area fields on both the Contact and Opportunity objects to house the complete historical activity record, preserving the original timestamp and owner attribution for audit continuity and compliance purposes.
Lofty
Property Record (custom fields)
HighLevel
Custom Object / Property Fields
1:1Real estate-specific property data stored in Lofty custom fields such as property address, property type classification, listing status, and MLS listing number map to identically named custom fields in HighLevel. For organizations utilizing HighLevel Enterprise with access to the Custom Objects API, we can construct a dedicated Property custom object featuring relational links to the associated Contact or Company record for enhanced data modeling flexibility.
Lofty
Contact Owner (User)
HighLevel
Contact Owner (User)
1:1Lofty owner identifiers are resolved through email address matching against the corresponding HighLevel user accounts within the destination organization. Any owner records that cannot be matched are flagged as exceptions prior to migration execution. Your implementation team must either pre-create the missing HighLevel user accounts or designate a fallback owner assignment for unmatched records during the migration run.
Lofty
Contact-to-Company Relationship
HighLevel
Contact-to-Company Relationship
1:1Lofty's primary contact-to-company association maps directly to HighLevel's Contact.AccountId lookup field on the Contact record. For contacts associated with multiple companies in Lofty, the primary company link is established through the standard lookup field while secondary company associations are preserved using a custom multi-select field or documented in a relationship notes field within the contact record.
Lofty
Lead Source / UTM Fields
HighLevel
Custom Field
1:1Lofty's lead source tracking fields and UTM parameter fields including utm_source, utm_medium, and utm_campaign are preserved as custom fields on the HighLevel Contact object. These fields are essential for marketing attribution analysis and campaign performance reporting, requiring pre-creation in HighLevel with appropriate field types before the contact migration batch executes.
Lofty
Attachment / File
HighLevel
File Upload
1:1File attachments associated with Lofty contacts, companies, and deals are downloaded from Lofty's storage system and re-uploaded to HighLevel's file storage, with each file linked to its corresponding destination record. The destination platform's file size restrictions apply, with HighLevel's default limit of 25 megabytes per individual file governing the transfer of larger attachments.
Lofty
Workflow / Automation
HighLevel
Workflow (manual rebuild)
1:1Lofty workflows and automations constitute platform-specific configuration that cannot be directly transferred to HighLevel's Workflow Builder. We export your complete Lofty workflow definitions as structured reference documents formatted in JSON, organized by workflow name, trigger type, conditional logic, and action sequences. Your HighLevel administrator uses these exported files as a step-by-step rebuild guide.
Lofty
API Rate Limit Data Export Window
HighLevel
Bulk Import
1:1Lofty's API enforces strict 90-day query window limitations on date-range exports, requiring multiple sequential paginated API requests to retrieve historical data spanning periods exceeding 90 days. Our migration pipeline chunks the export into sequential date windows, reconciles retrieved records by their unique Lofty ID to prevent duplication from overlapping window boundaries, and loads the consolidated dataset into HighLevel in ordered sequence.
| Lofty | HighLevel | Compatibility | |
|---|---|---|---|
| Contact (People / Lead) | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Deal Stage | Pipeline Stage1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Custom Field (Text, Number, Currency, Date) | Custom Field1:1 | Fully supported | |
| Note / Activity Log | Activity Log (Custom)1:1 | Fully supported | |
| Property Record (custom fields) | Custom Object / Property Fields1:1 | Fully supported | |
| Contact Owner (User) | Contact Owner (User)1:1 | Fully supported | |
| Contact-to-Company Relationship | Contact-to-Company Relationship1:1 | Fully supported | |
| Lead Source / UTM Fields | Custom Field1:1 | Fully supported | |
| Attachment / File | File Upload1:1 | Fully supported | |
| Workflow / Automation | Workflow (manual rebuild)1:1 | Fully supported | |
| API Rate Limit Data Export Window | Bulk Import1:1 | 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
HighLevel gotchas
Sub-account architecture creates isolated data silos per client
Usage-based telecom and AI costs are not in the subscription price
Workflows have no native equivalent in most destination CRMs
API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account
White-label configuration and branding assets do not export via API
Pair-specific challenges
Migration approach
Conduct full Lofty data audit and mapping specification
We extract a complete inventory of all Lofty objects: contacts, companies, deals, tags, custom field definitions (with field types and pick-list values), pipeline names and stages, owner list, and activity history. We document the count per object, identify the Lofty API query windows needed to cover the full date range of each object, and flag any records approaching the 90-day pagination boundary before writing the mapping specification.
Build field-to-field mapping specification and validate against HighLevel schema
We create a comprehensive mapping document that pairs every Lofty field with its HighLevel counterpart, including explicit notation for required custom field pre-creation steps, tag recreation requirements, pipeline and stage configuration settings, and opportunity contact role linkage rules. HighLevel custom fields undergo validation testing within a dedicated staging sub-account before the production migration run commences, ensuring field types and pick-list configurations function correctly and align with source data expectations.
Export Lofty data with 90-day pagination windows and reconcile by record ID
We export Lofty records using date-windowed batch processing that respects the 90-day API limitation per request, leveraging Lofty's OAuth 2.0 authentication protocol for secure access. All exports are reconciled using Lofty's unique 64-bit integer identifier (handled as BigInt strings in the processing pipeline) to detect potential duplicates arising from overlapping date windows. Custom field definitions are exported independently and matched against the production field types before any actual record import operations begin.
Run test migration with field-level diff in a HighLevel staging sub-account
A representative slice — typically 100–500 records spanning contacts, companies, deals, and activity logs — migrates into a HighLevel staging sub-account. We generate a field-level diff report comparing source and destination values, including custom field mapping, tag assignment, and pipeline stage assignment. You review the diff, we adjust the mapping specification, and you approve before the full production run commits.
Execute full production migration with delta-pickup window and audit log
Full migration runs against the production HighLevel sub-account. A delta-pickup window of 24–48 hours captures any records created or modified in Lofty during the cutover period. Every operation is logged with source record ID, destination record ID, field mapping applied, and timestamp. One-click rollback is available if the reconciliation check fails. After validation, we deliver a final audit report confirming record counts by object type and any records that require manual review.
Deliver workflow export reference and post-migration support window
We generate comprehensive exports of your Lofty workflow definitions as structured JSON files, organized by workflow name with explicit documentation of trigger types, conditional logic branches, and complete action sequences. Your designated HighLevel administrator uses these exported reference files as a detailed rebuild guide for recreating each automation within HighLevel's native Workflow Builder interface. We include a 7-day post-migration support window to resolve any data integrity concerns, incorrect custom field mappings, or tag assignment discrepancies identified after the production go-live date.
Platform deep dives
Lofty
Source
Strengths
Weaknesses
HighLevel
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 HighLevel.
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 HighLevel migration scoping. Not seeing yours? Book a call.
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