CRM migration

Migrate from MetroLeads to HighLevel

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

MetroLeads logo

MetroLeads

Source

HighLevel

Destination

HighLevel logo

Compatibility

75%

6 of 8

objects map 1:1 between MetroLeads and HighLevel.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from MetroLeads to GoHighLevel is a data-model translation from a lead-centric schema to GoHighLevel's contact-account hierarchy. MetroLeads organizes its entire platform around Leads with a state field, source_tags, lead_fields for custom properties, and lead_group associations, while GoHighLevel uses the standard contact-account model where Contacts live inside Locations with tag-based segmentation. We extract the MetroLeads property schema first to build an ID-to-name mapping, catalog every tenant-specific state value, resolve merge-pending lead pairs before migration begins, and map the resulting structure to GoHighLevel Contacts and Custom Objects. Workflows, automations, and sequences do not migrate as code; we deliver a written inventory of every active automation for the customer's admin to rebuild in GoHighLevel's workflow builder.

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

MetroLeads logo

MetroLeads

What's pushing teams away

  • Reporting and analytics features lack customization depth, with limited dashboard options for drag-and-drop insight building and graphical trend visualization.
  • Integration ecosystem is narrower than enterprise CRMs, making it difficult to connect specialized tools as the business scales beyond the built-in connectors.
  • Small review sample size on public platforms makes independent quality assessment difficult before committing to a contract.

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 MetroLeads objects map to HighLevel

Each row shows how a MetroLeads 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.

MetroLeads

Lead

maps to

HighLevel

Contact

1:1
Fully supported

MetroLeads Leads map directly to GoHighLevel Contacts. The Lead name, embedded phones (with type metadata), embedded emails (with type), source_tags, lead_fields (custom properties), assigned_to user reference, and lead_creation_time all migrate as Contact fields. We resolve the MetroLeads assigned_to user to a GoHighLevel Team Member by email match. Merge-pending Lead pairs are resolved during scoping before migration so only one Contact is created per pair.

MetroLeads

Company

maps to

HighLevel

Location

1:1
Fully supported

MetroLeads Companies serve as parent containers for Leads via /companies/<company_uuid>/leads/. We export Company records and map them to GoHighLevel Locations, which serve as the organizational grouping structure. Company-level custom fields migrate to Location custom fields. Each Lead's association to its MetroLeads Company is preserved as a GoHighLevel Location assignment on the Contact.

MetroLeads

Event

maps to

HighLevel

Task / Note

1:1
Fully supported

MetroLeads Events track engagement history tied to Leads. Event type, timestamp, and event details migrate to GoHighLevel Tasks (for call and email events) or Notes (for logged meeting and interaction records). We preserve event_to_lead associations by resolving the MetroLeads lead_uuid to the migrated GoHighLevel Contact ID at migration time.

MetroLeads

Intellisearch

maps to

HighLevel

Custom Object / Tag

lossy
Mapping required

MetroLeads Intellisearch is a scoring and saved-search layer built on top of Lead data. The scoring logic and saved search definitions do not map 1:1 to standard GoHighLevel objects. We export the raw Intellisearch configuration JSON and either create a GoHighLevel Custom Object to hold the scoring criteria, or map the output to a GoHighLevel Tag set for segmentation. The customer chooses the strategy during scoping.

MetroLeads

Advanced Data Modules

maps to

HighLevel

Custom Object

1:1
Mapping required

MetroLeads Advanced Data Modules are tenant-specific data structures extending the base schema with field definitions that vary per organization. We export the module schema alongside records and create equivalent GoHighLevel Custom Objects. Each module's fields are pre-created in GoHighLevel with matching field types before any record import so that the data lands in typed fields rather than generic JSON blobs.

MetroLeads

User

maps to

HighLevel

Team Member

1:1
Fully supported

MetroLeads User records (id, name, role) map to GoHighLevel Team Members. We export all User records and preserve assigned_to and user_assigned_to references on Leads and Events so that the migration resolves to the correct GoHighLevel Team Member by email. Any MetroLeads User without a matching GoHighLevel user goes to a reconciliation queue for the customer to provision before import continues.

MetroLeads

Source Tags

maps to

HighLevel

Tag

1:1
Fully supported

MetroLeads source_tags are string arrays on Lead records indicating disposition (e.g. disposition_answered). We export the raw tag strings and map them to GoHighLevel Tags, which are applied to the migrated Contact. Tags serve as the primary segmentation mechanism in GoHighLevel and map naturally from MetroLeads source_tags.

MetroLeads

Lead State

maps to

HighLevel

Custom Field + Tag

lossy
Mapping required

MetroLeads Lead state is a tenant-configured string field (e.g. contacted, new, qualified) with values that vary by MetroLeads instance. We extract all unique state values during the export scan, present them to the customer for GoHighLevel mapping, and create a custom Contact field (e.g. original_state__c) to preserve the MetroLeads value. State is also applied as a Tag so contacts can be segmented by their original MetroLeads lifecycle stage in GoHighLevel reporting.

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.

MetroLeads logo

MetroLeads gotchas

High

Merge API field priority can silently overwrite data

Medium

Custom lead_fields use property IDs not property names

Medium

Tenant-specific state values require pre-migration catalog

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

  • Lead-centric to contact-account model shift requires up-front design

    MetroLeads organizes its entire data model around Leads as the primary object. GoHighLevel uses the standard CRM contact-account hierarchy where Contacts live inside Locations. We extract MetroLeads Companies first, create GoHighLevel Locations from them, then map each MetroLeads Lead to a GoHighLevel Contact assigned to the corresponding Location. The mapping between MetroLeads Lead and GoHighLevel Contact is 1:1, but the parent-container relationship must be resolved during schema design, not during import. Migrations that skip this step produce Contacts without Location assignments, breaking GoHighLevel's reporting and pipeline views.

  • Merge-pending Lead pairs require explicit resolution before migration

    MetroLeads flags certain Lead pairs as merge-pending. The MetroLeads merge API defaults to the primary Lead's field values when conflicts occur, silently dropping secondary Lead values. We identify all merge-pending pairs during the export phase, present them to the customer for explicit survivor selection, and execute the import with the resolved survivor so that no data is silently overwritten by the API default. This step is a prerequisite for the Contact import phase.

  • Property IDs must be resolved to names before GoHighLevel custom field creation

    MetroLeads stores custom property values in lead_fields keyed by internal property IDs (e.g. customer_id_070) rather than human-readable names. The property name catalog is a separate API call. We fetch the full MetroLeads property schema first, build an ID-to-name mapping, and create GoHighLevel custom fields with the resolved names before importing any Lead records. If custom fields are created using the raw MetroLeads property IDs as names, the GoHighLevel schema becomes opaque and unusable for the customer's admin team.

  • GoHighLevel custom fields must be pre-created via API before bulk import

    GoHighLevel requires custom fields to exist before records can be imported into them via the API. Unlike some CRMs where custom fields can be created inline during import, GoHighLevel enforces schema-first field creation. We create all required GoHighLevel custom fields (from the MetroLeads property schema resolution step) in a pre-migration phase, then run the Contact and Custom Object import. Any custom field that is missed during pre-creation causes the import job to reject those records at runtime.

Migration approach

Six steps for a successful MetroLeads to HighLevel data migration

  1. MetroLeads export and property schema resolution

    We paginate the MetroLeads API to export all Leads, Companies, Events, Advanced Data Modules, Users, and associated embedded records (phones, emails). In the same phase we fetch the MetroLeads property schema catalog to build the ID-to-name mapping for all lead_fields. We identify merge-pending Lead pairs and extract all unique tenant-specific state values from the state field. The output is a structured export manifest with record counts per object and the resolved property name catalog.

  2. GoHighLevel schema pre-creation

    We create all required GoHighLevel custom fields in advance of any data import. This includes the original_state__c custom field for MetroLeads state values, any fields derived from MetroLeads lead_fields (using the resolved names from step 1), and Custom Objects for Advanced Data Modules with all module fields pre-created. Location (Company) and Contact standard fields are validated for completeness. This phase must complete before the import batch begins.

  3. Contact and Location import

    We import MetroLeads Companies as GoHighLevel Locations first, establishing the organizational hierarchy. MetroLeads Leads import as GoHighLevel Contacts, with each Contact assigned to its corresponding Location. Source_tags from MetroLeads become GoHighLevel Tags on the Contact. The MetroLeads state value is written to original_state__c and applied as a Tag. Merge-pending Lead pairs are resolved at this phase using the survivor selection confirmed during scoping.

  4. Event, Advanced Data Module, and User import

    We import MetroLeads Events as GoHighLevel Tasks and Notes, resolving the MetroLeads lead_uuid to the migrated GoHighLevel Contact ID for each event. Advanced Data Modules import into their corresponding GoHighLevel Custom Objects with field types matched. Users import as GoHighLevel Team Members with assigned_to references resolved by email match. Any unmapped User references are held in a reconciliation queue.

  5. Delta reconciliation and validation

    We run a row-count reconciliation across all migrated objects (Contacts in, Locations in, Events in, Custom Objects in) against the MetroLeads export manifest. We spot-check twenty-five to fifty randomly selected Contacts against the MetroLeads source to verify field-level accuracy, particularly for custom property values and tag completeness. Any mapping corrections are applied before the cutover window opens.

  6. Cutover and automation inventory handoff

    We freeze MetroLeads writes during cutover, run a final delta migration of any records modified during the migration window, then present the GoHighLevel migration summary to the customer. We deliver a written inventory of every MetroLeads automation, workflow, and sequence with its trigger, conditions, and recommended GoHighLevel Workflow equivalent. We support a five-business-day hypercare window for reconciliation issues. Workflow rebuild in GoHighLevel's visual builder is outside migration scope and is handled by the customer's admin or a GoHighLevel implementation partner.

Platform deep dives

Context on both ends of the pair

MetroLeads logo

MetroLeads

Source

Strengths

  • Unified CRM, telephony, and lead capture in a single platform reduces vendor fragmentation.
  • Automatic lead deduplication prevents duplicate records on import.
  • Native cloud VOIP with call logging integrated directly into the Lead record.
  • Workflow automation for reminders and follow-up sequences is built in.
  • Omni-channel engagement tracking across voice, email, and web.

Weaknesses

  • Limited review corpus on public platforms makes independent quality assessment challenging.
  • Analytics and reporting lack advanced visualization and customization options.
  • Smaller integration ecosystem compared to enterprise-grade CRMs.
  • No publicly documented pricing tiers on the main website.
  • Limited evidence of advanced customization options for enterprise-scale deployments.
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. 1 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 MetroLeads and HighLevel.

  • Object compatibility

    B

    1 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

    MetroLeads: Not publicly documented in the available research data.

  • Data volume sensitivity

    B

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

Estimator

Estimate your MetroLeads 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 MetroLeads to HighLevel data migrations

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

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Most migrations land between two and four weeks for accounts under 10,000 Leads with no Advanced Data Modules. Migrations with multiple Advanced Data Modules, large event histories, tenant-specific state catalogs exceeding ten unique values, or multi-location GoHighLevel destinations move to five to nine weeks because of the schema pre-creation phase, batch import sequencing, and merge-pending lead reconciliation work. We provide a timeline estimate during scoping based on record counts and schema complexity.

Adjacent paths

Related migrations to explore

Ready when you are

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