CRM migration
Field-level mapping, validation, and rollback between Contlo and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Contlo
Source
HighLevel
Destination
Compatibility
5 of 8
objects map 1:1 between Contlo and HighLevel.
Complexity
BStandard
Timeline
3-4 weeks
Overview
Moving from Contlo to GoHighLevel is a migration from an AI-native marketing platform to a full-stack CRM and marketing automation suite. Contlo organizes its data around customer profiles and behavioral segments; GoHighLevel uses a CRM-centric model with contacts, accounts, pipelines, and native workflow automation. We migrate contacts 1:1 including standard properties, map segment membership to GoHighLevel tags, and preserve campaign template content and delivery history. The Contlo Brand AI Model is not a portable artifact and requires manual recreation in GoHighLevel using the AI Employee tools post-migration. Automations, campaign flows, and Voice Agent configurations do not migrate as code; we deliver a written inventory of these for the customer's admin to rebuild in GoHighLevel's workflow builder. Custom properties on Contacts map to GoHighLevel custom fields using compatible data types.
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 Contlo 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.
Contlo
Contact
HighLevel
Contact
1:1Contlo Contacts map 1:1 to GoHighLevel Contacts. Standard properties (email, first name, last name, phone, address) migrate directly. We use email as the dedupe key. Custom fields on Contlo Contacts map to GoHighLevel custom fields with compatible data types (text, number, date, dropdown). Any complex or unsupported field types are stored as JSON-encoded text in a migration_notes custom field for manual reconfiguration after import.
Contlo
Segment
HighLevel
Tag
1:1Contlo Segments are behavioral groupings used to target automations. We preserve segment membership by applying GoHighLevel Tags to each Contact record during migration. The tag naming convention preserves the original segment name (e.g., 'Segment: Abandoned Cart' becomes tag 'abandoned_cart'). Segment rules (AND/OR logic, filter conditions) are exported as structured JSON in the migration deliverables. These rules must be recreated manually in GoHighLevel using the workflow builder and contact filtering tools.
Contlo
Campaign
HighLevel
Email Template / SMS Template
1:1Contlo campaign templates and message content migrate to GoHighLevel Email Templates and SMS Templates. We preserve template content, subject lines, sender settings, and any dynamic field placeholders. Delivery history (sends, opens, clicks, conversions) is exported as CSV linked to Contact IDs for reporting import. GoHighLevel's reporting dashboard requires manual configuration post-migration to display historical campaign metrics.
Contlo
Automation Flow
HighLevel
Workflow
lossyContlo automation flows are exported as structured JSON documenting the trigger type, conditions, and action steps. GoHighLevel's workflow builder operates on a different logic model (CRM-triggered workflows, funnel-based triggers, and time-based actions) that does not accept direct migration. We deliver a written automation inventory with GoHighLevel Workflow rebuild guidance for each Contlo automation. The customer's admin rebuilds the automation logic in GoHighLevel post-migration. Active automation state (contacts currently enrolled) is preserved as tags for re-enrollment if needed.
Contlo
Custom Properties
HighLevel
Custom Fields
1:1Contlo custom fields on Contacts and Segments migrate to GoHighLevel custom fields. We map Contlo field types to GoHighLevel field types where direct equivalents exist (text, number, date, dropdown). Fields without a direct equivalent are stored as JSON in a migration_notes text field. We create the destination custom fields in GoHighLevel before import using the Custom Fields API. Fields with validation rules in GoHighLevel (required formats, conditional requireds) are flagged during schema design.
Contlo
Analytics / Event History
HighLevel
Contact Activity / CSV Import
1:1Contlo event-level data (opens, clicks, conversions, timestamps) is exported as CSV linked to Contact IDs by email. We import this data into GoHighLevel as contact activity records using the Contacts API. Historical campaign engagement is preserved for reporting and contact timeline display. GoHighLevel's native analytics dashboards do not auto-populate from imported CSV data; the customer's admin configures custom reports orfunnel analytics post-migration to visualize historical metrics.
Contlo
Voice Agent
HighLevel
Not Supported
lossyContlo Voice Agents are AI-driven phone agents built from Contlo's proprietary Voice Agent library. Agent configuration, voice settings, and routing logic are extracted as structured documentation. The agent logic itself is not portable to GoHighLevel, which does not offer a native Voice Agent builder equivalent. We document the Voice Agent setup as an action item for the customer to rebuild using GoHighLevel's LC Phone system or a third-party telephony integration.
Contlo
Brand AI Model Configuration
HighLevel
Not Supported
lossyContlo's Brand AI Model is a platform-specific artifact trained on the customer's brand content and campaign data. It lives in Contlo's infrastructure and cannot be exported as a portable artifact. This is documented as a non-migration gap: the customer must create a new AI strategy in GoHighLevel using the AI Employee tools or third-party AI integration post-migration. We flag this clearly in the discovery deliverables so the customer understands the scope of AI capability loss before committing to migration.
| Contlo | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Segment | Tag1:1 | Fully supported | |
| Campaign | Email Template / SMS Template1:1 | Fully supported | |
| Automation Flow | Workflowlossy | Fully supported | |
| Custom Properties | Custom Fields1:1 | Mapping required | |
| Analytics / Event History | Contact Activity / CSV Import1:1 | Mapping required | |
| Voice Agent | Not Supportedlossy | Fully supported | |
| Brand AI Model Configuration | Not Supportedlossy | Not 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.
Contlo gotchas
Free tier enforces 'Powered by Contlo' branding
Contact volume limits are tier-gated
Brand AI Model is non-portable
Automation branching logic may not translate 1:1
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
Discovery and scoping
We audit the source Contlo account across contacts, segments, custom fields, active automations, campaign templates, and event history volume. We review the customer's GoHighLevel destination account to confirm plan tier, existing custom fields, and pipeline configuration. The discovery output is a written migration scope document with object mapping, a non-migration gap list (Brand AI Model, Voice Agents, automation rebuild scope), and a GoHighLevel plan recommendation if the current plan does not support the required data model.
Schema design and tag taxonomy
We design the destination schema in GoHighLevel. This includes creating custom fields that map to Contlo custom properties, defining a tag taxonomy that represents Contlo segment membership, and planning the pipeline structure if the customer uses GoHighLevel's opportunity or project pipelines. We validate the schema in GoHighLevel's sandbox or a test sub-account before production migration begins. Tag naming conventions are agreed upon with the customer to ensure the migrated segment labels are readable and actionable in GoHighLevel.
Data extraction and transformation
We extract all Contlo contacts, segments, custom field data, and campaign templates using the Contlo API and CSV export tools. Segment membership is transformed into tag assignments on each Contact record. Custom field values are mapped to GoHighLevel field types. Campaign template content is extracted for import into GoHighLevel Email and SMS Templates. Event history is exported as CSV with Contact IDs for timeline and reporting import. We flag any Contlo data quality issues (invalid emails, missing required fields) and surface them to the customer for cleanup before import.
Sandbox migration and reconciliation
We run a full migration into a GoHighLevel test sub-account or sandbox environment using production-like data volume. The customer's admin reconciles record counts (contacts in, segments/tags applied, custom fields populated, templates imported), spot-checks 20-30 random records against the Contlo source, and validates tag assignments. Any mapping corrections are made before production migration. GoHighLevel's per-sub-account structure means agencies can test the migration in a client sub-account before committing to the production account.
Production migration in dependency order
We run production migration in record order: custom fields (created first in GoHighLevel), contacts (with tags applied from segment membership), campaign templates (email and SMS), and event history (CSV import for reporting). Each phase emits a row-count reconciliation report. Automation flows and Voice Agent configurations are not migrated as code; they appear in the migration deliverables as documentation for manual rebuild. Brand AI Model configuration is documented as a non-migration action item with guidance for GoHighLevel AI Employee setup.
Cutover, validation, and automation rebuild handoff
We freeze Contlo writes during cutover, run a final delta migration of any records modified during the migration window, then enable GoHighLevel as the system of record. We validate record counts across contacts, tags, and templates. We deliver the automation inventory and Voice Agent documentation to the customer's admin team. We support a brief hypercare window to resolve immediate reconciliation issues. We do not rebuild Contlo automations as GoHighLevel workflows inside the migration scope; that work is handled by the customer's admin using the delivered automation documentation.
Platform deep dives
Contlo
Source
Strengths
Weaknesses
HighLevel
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Contlo and HighLevel.
Object compatibility
1 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
Contlo: Not publicly documented.
Data volume sensitivity
Contlo 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
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Category
FAQ
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