CRM migration

Migrate from Lofty to HighLevel

Field-level mapping, validation, and rollback between Lofty and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.

Lofty logo

Lofty

Source

HighLevel

Destination

HighLevel logo

Compatibility

100%

14 of 14

objects map 1:1 between Lofty and HighLevel.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Lofty logo

Lofty

What's pushing teams away

  • Poor customer support with significant delays and unhelpful responses during critical issues drives frustration and churn.
  • Steep learning curve overwhelms new users — the extensive functionality requires formal training before teams feel productive.
  • Inconsistent AI performance and slow platform speed frustrate users who rely on automation for lead follow-up.
  • Missing features like WordPress CMS integration and inadequate AI capabilities prompt teams to seek alternatives.
  • Some users report reliability concerns, with one stating 'everything is broken' and questioning ongoing development.

Choosing

HighLevel logo

HighLevel

What's pulling them in

  • Agencies choose HighLevel to consolidate CRM, email, SMS, scheduling, and funnels into one subscription, eliminating monthly bills for five to ten separate SaaS tools they previously stitched together.
  • The flat-rate pricing model bills per sub-account rather than per contact, so growing a contact database from 1,000 to 100,000 records does not trigger a billing surprise—a common pain point avoided by migrating customers.
  • White-label and sub-account capabilities let agencies resell HighLevel access to their own clients, turning a software cost center into a recurring revenue stream that justifies the subscription.
  • The platform ships a 14-day free trial with no credit card required, giving teams a low-friction entry point to validate fit before committing to the $97/month Starter tier.
  • Marketing agencies managing multiple client accounts use sub-accounts to maintain data isolation per client while operating under a single agency billing relationship with HighLevel.

Object mapping

How Lofty objects map to HighLevel

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)

maps to

HighLevel

Contact

1:1
Fully supported

Lofty 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

maps to

HighLevel

Company

1:1
Fully supported

Lofty'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

maps to

HighLevel

Opportunity

1:1
Fully supported

Lofty 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

maps to

HighLevel

Pipeline Stage

1:1
Fully supported

Lofty 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

maps to

HighLevel

Tag

1:1
Fully supported

Lofty 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)

maps to

HighLevel

Custom Field

1:1
Fully supported

Lofty'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

maps to

HighLevel

Activity Log (Custom)

1:1
Fully supported

Lofty'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)

maps to

HighLevel

Custom Object / Property Fields

1:1
Fully supported

Real 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)

maps to

HighLevel

Contact Owner (User)

1:1
Fully supported

Lofty 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

maps to

HighLevel

Contact-to-Company Relationship

1:1
Fully supported

Lofty'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

maps to

HighLevel

Custom Field

1:1
Fully supported

Lofty'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

maps to

HighLevel

File Upload

1:1
Fully supported

File 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

maps to

HighLevel

Workflow (manual rebuild)

1:1
Fully supported

Lofty 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

maps to

HighLevel

Bulk Import

1:1
Fully supported

Lofty'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.

Gotchas + challenges

What specifically takes care here

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 logo

Lofty gotchas

High

API date-range queries capped at 90 days

Medium

64-bit integer IDs risk JavaScript precision loss

Medium

Starter tier custom field cap breaks complex schemas

High

Data export requires $500 fee unless handled during subscription

Low

Documentation site migration disrupts integration references

HighLevel logo

HighLevel gotchas

High

Sub-account architecture creates isolated data silos per client

High

Usage-based telecom and AI costs are not in the subscription price

Medium

Workflows have no native equivalent in most destination CRMs

Medium

API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account

Low

White-label configuration and branding assets do not export via API

Pair-specific challenges

  • Lofty's 90-day API export window forces multi-pass pagination for historical records

    Lofty's Open API v2.0 enforces a maximum 90-day range between start and end dates on paginated queries. For migrations involving records spanning more than 90 days — such as activity logs, historical deals, or contacts with multi-year follow-up sequences — we must execute multiple paginated API calls per object type, reconciling by record ID to prevent duplication in HighLevel. JavaScript clients handling Lofty IDs as floats risk silent precision loss because Lofty uses 64-bit integers; we use BigInt or string-based ID handling throughout the export pipeline.

  • Lofty Starter's 10 custom field per type ceiling creates a migration bottleneck

    Lofty's Starter package limits each custom field type to 10 fields. Teams at or near this ceiling must prioritize which fields to migrate before the migration begins, as the remaining fields can only be created in HighLevel. HighLevel's custom field model uses ~25 default field types; we map the 10-starter-field ceiling to HighLevel's equivalent types and flag any overflow for manual prioritization. Accounts on paid tiers with 50 per type require careful sequencing to avoid hitting the Starter-tier ceiling during the migration window.

  • HighLevel's Opportunity Contact Role junction requires contact-to-opportunity linkage after records land

    HighLevel Opportunities are linked to Contacts through the Opportunity Contact Role junction object rather than a direct field on the Contact. Lofty's deal-to-contact association is a direct link on the deal record. We preserve the association by creating the Opportunity Contact Role record during migration, but this requires the Contact and Opportunity to both exist in HighLevel before the junction is created — it cannot be created in the same bulk import pass as the Opportunity itself.

  • Lofty's full-name contact property splits into first_name and last_name during migration

    Lofty stores contact names as separate first_name and last_name properties, not as a single combined name field. However, older Lofty data exports sometimes render the combined display_name or a single full_name column. We detect which name model applies by inspecting the export headers and validating against email-domain heuristics. If the full_name field is present without first_name, we split on the first space and flag any records with non-standard formats (middle initials, suffixes like Jr.) for manual review before the HighLevel import.

  • HighLevel's usage-based wallet model introduces cost variables Lofty users may not anticipate

    HighLevel charges usage-based fees for SMS, phone calls, and AI features through an Agency Wallet separate from the flat subscription rate. Lofty's pricing is per-seat with no separate usage billing. Teams migrating to HighLevel should review their expected monthly SMS and call volume before go-live to set appropriate wallet thresholds. We include a wallet sizing estimate in the migration plan based on Lofty's historical call and message counts, which are exported as part of the activity log.

Migration approach

Six steps for a successful Lofty to HighLevel data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Lofty logo

Lofty

Source

Strengths

  • All-in-one real estate CRM combines lead gen, property tracking, landing pages, and AI tools.
  • Agent plan at $449/month is competitive for bundled functionality versus buying separate tools.
  • Enterprise tier offers custom branding, enhanced reporting, and flexible org structures for brokerages.
  • Positive reviews cite property auto-updates and seamless integrations saving agent time.
  • Supports OAuth 2.0 and API Key authentication for flexible third-party integrations.

Weaknesses

  • Steep learning curve requires formal training investment before teams become productive.
  • Customer support receives consistent negative reviews for responsiveness during critical issues.
  • Starter tier limited to 10 custom fields per type — insufficient for complex data models.
  • AI features described as inconsistent and slow in G2 reviews, affecting automation reliability.
  • Documentation site migration (moving to developer.lofty.com after August 2026) may disrupt integrations mid-migration.
HighLevel logo

HighLevel

Destination

Strengths

  • Consolidates CRM, marketing automation, email, SMS, scheduling, and funnels into one platform at a predictable flat monthly rate.
  • Supports unlimited contacts and unlimited users on all paid tiers, removing per-record billing anxiety as databases grow.
  • Offers white-label and sub-account capabilities that let agencies resell access and manage multiple client environments under one billing relationship.
  • Includes built-in review management, reputation monitoring, and AI agents as native features rather than third-party add-ons.
  • Exports Contacts and Companies via a scalable async bulk CSV system that handles multi-million-row datasets without blocking the UI.

Weaknesses

  • The breadth of features creates a steep learning curve; advanced automations and Workflow configuration require significant time investment that smaller teams may not recover.
  • The platform charges usage-based fees for telecommunications and AI features that are not included in the base subscription, leading to bill surprises.
  • Recurring user reports on Reddit and G2 describe bugs, errors, and slow support response times that disrupt live marketing and sales operations.
  • Sub-account architecture, while powerful for agencies, adds migration complexity when identifying which client data lives in which isolated environment.
  • The platform is designed for agencies and SMBs; larger enterprises requiring deep reporting, custom objects at scale, or complex role-based access may outgrow its capabilities.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Lofty and HighLevel.

  • Object compatibility

    B

    2 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Lofty: Not publicly documented on developer.lofty.com — we implement exponential backoff and respect 429 responses as rate limit signals.

  • Data volume sensitivity

    B

    Lofty doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Lofty to HighLevel migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Lofty to HighLevel data migrations

Answers to the questions buyers ask most during Lofty to HighLevel migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Book a free 30 minute consultation

Most Lofty-to-HighLevel migrations complete in 48–72 hours of clock time for under 10,000 records with straightforward field mapping and a single pipeline. Accounts with 50,000+ records, multiple deal pipelines, or complex custom field configurations spanning the Lofty 50-per-type ceiling extend to 5–10 business days. The Lofty API's 90-day pagination window adds planning time for datasets spanning more than 90 days of historical activity, as multiple paginated export passes are required per object type.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Lofty.
Land in HighLevel, intact.

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