CRM migration
Field-level mapping, validation, and rollback between Kylas Sales CRM and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Kylas Sales CRM
Source
HighLevel
Destination
Compatibility
8 of 10
objects map 1:1 between Kylas Sales CRM and HighLevel.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Kylas Sales CRM to GoHighLevel is a structural consolidation, not a simple record copy. Kylas organizes sales data around Leads, Deals, and Companies with configurable Pipelines and Smart Lists; GoHighLevel uses Contacts, Opportunities, Companies, and Custom Objects with a unified automation engine that spans CRM, marketing, and communications. We extract all standard entity types via Kylas export and UI-based Data Management, remap picklist value IDs, currency fields, and custom field schemas to match GoHighLevel's Contact and Opportunity custom field model, and preserve deal-weighted activity histories. Kylas Smart List definitions are documented but not migrated as persistent record sets; Kylas workflow automation rules are not exposed via export and are delivered as a written configuration inventory for manual rebuild in GoHighLevel's Workflow builder. GoHighLevel's flat-rate pricing with unlimited users and all-in-one CRM plus marketing tools is the primary driver teams cite for switching from Kylas, along with the desire to consolidate WhatsApp, SMS, and funnel management under a single platform.
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 Kylas Sales CRM 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.
Kylas Sales CRM
Lead
HighLevel
Contact or Lead
1:1Kylas Lead records (pre-conversion prospects with source, status, and scoring fields) map to GoHighLevel Contact records. The lead_score, lead_source, and lifecycle status migrate as Contact custom fields. If the customer uses Kylas Lead stages that represent pre-qualification states, we map those to GoHighLevel Contact tags or a custom status picklist field rather than GoHighLevel's separate Lead object, which is used for inbound marketing leads only.
Kylas Sales CRM
Contact
HighLevel
Contact
1:1Kylas Contact records (name, email, phone, address, and custom properties) migrate to GoHighLevel Contact records. Email serves as the dedupe key. Custom properties on Kylas Contacts are mapped to GoHighLevel Contact custom fields, with field type mapping (text to text, picklist to dropdown, date to date, number to number). Kylas lifecycle-stage metadata migrates as a custom Contact field for reporting continuity.
Kylas Sales CRM
Company
HighLevel
Company
1:1Kylas Company records map to GoHighLevel Company records. Industry classification, company size, and address data migrate directly. Companies with associated Contacts retain their association through the GoHighLevel Company-Contact relationship model. Multi-currency settings on Kylas Companies map to a currency custom field on the GoHighLevel Company record since GoHighLevel handles multi-currency at the account or sub-account level.
Kylas Sales CRM
Deal
HighLevel
Opportunity
1:1Kylas Deal records map to GoHighLevel Opportunity records. Deal value, expected close date, owner assignment, and deal stage migrate. The Kylas pipeline stage name maps to a GoHighLevel pipeline stage with the same order and probability percentage. We create the target pipeline in GoHighLevel before Deal migration begins so that stage assignment is valid at insert time.
Kylas Sales CRM
Pipeline
HighLevel
Pipeline
lossyKylas multiple named Pipelines with fully custom stage names map to GoHighLevel Pipelines. We create matching GoHighLevel pipelines with the same stage count, stage names, and probability weights before Deals are imported. If a Kylas pipeline exceeds the destination plan's pipeline count limit, we flag this during scoping so the customer can consolidate pipelines or upgrade.
Kylas Sales CRM
Activity: Calls, Tasks, Notes
HighLevel
Contact Activity / Task
1:1Kylas activity records (calls, tasks, notes, field-sales check-ins) attach to Leads, Contacts, Deals, and Companies. Timestamps and owner assignment are preserved. WhatsApp conversations linked to Kylas Contacts migrate to GoHighLevel Contact conversations if the customer configures their WhatsApp Business API in GoHighLevel during migration. Field-sales check-ins that have no GoHighLevel equivalent become Notes on the Contact record.
Kylas Sales CRM
Custom Fields
HighLevel
Contact Custom Fields / Opportunity Custom Fields
lossyKylas custom fields on Leads, Contacts, Deals, and Companies are exported with their field type, picklist value IDs, and current values. We pre-create matching GoHighLevel Contact custom fields or Opportunity custom fields during migration setup, remap picklist value IDs to GoHighLevel dropdown options, and validate the full custom field schema in a GoHighLevel sandbox before production import. Field types are mapped directly (Kylas text to GoHighLevel text, Kylas picklist to GoHighLevel dropdown, Kylas date to GoHighLevel date).
Kylas Sales CRM
Tags
HighLevel
Tags
1:1Kylas tags apply across objects. We export the full tag vocabulary and map each tagged record to GoHighLevel Tags on the Contact or Company record, merging any duplicate tag names. Tags are one of the most reliably portable data elements across CRM migrations.
Kylas Sales CRM
Users (Owners)
HighLevel
Users
1:1Kylas user records (name, email, role, profile) are exported and mapped to GoHighLevel Users. We match by email address. Any Kylas user without a matching GoHighLevel User goes to a reconciliation queue for the customer's admin to provision. Inactive Kylas users are flagged and invited to GoHighLevel as inactive or not provisioned depending on the customer's preference.
Kylas Sales CRM
Smart Lists
HighLevel
Smart Lists (documented only)
1:1Kylas Smart Lists are dynamic saved searches with membership evaluated at query time. They have no persistent record set to export. We export the filter criteria for each Smart List and document them so the customer can recreate the same filter logic in GoHighLevel Smart Lists manually. The migrated records themselves are available in GoHighLevel for filtering.
| Kylas Sales CRM | HighLevel | Compatibility | |
|---|---|---|---|
| Lead | Contact or Lead1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline | Pipelinelossy | Fully supported | |
| Activity: Calls, Tasks, Notes | Contact Activity / Task1:1 | Fully supported | |
| Custom Fields | Contact Custom Fields / Opportunity Custom Fieldslossy | Mapping required | |
| Tags | Tags1:1 | Mapping required | |
| Users (Owners) | Users1:1 | Mapping required | |
| Smart Lists | Smart Lists (documented only)1:1 | 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.
Kylas Sales CRM gotchas
Record storage caps gate migration scope
Smart List filter criteria are non-exportable
Workflow automation rules cannot be transferred
API lacks publicly documented rate limits
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 data audit
We audit the source Kylas account across record counts (Leads, Contacts, Companies, Deals, Activities), custom field schemas on each object, active pipeline names and stage definitions, active workflow automation count, Smart List definitions, and tag vocabulary. We pair this with a GoHighLevel plan review to identify contact limits, pipeline capacity, and whether Custom Objects are needed. The discovery output is a written migration scope covering record volumes, schema mapping requirements, and a flag list of any records exceeding destination plan limits.
Schema design and GoHighLevel setup
We design the destination schema in GoHighLevel before any data moves. This includes creating GoHighLevel Contact custom fields and Opportunity custom fields to match Kylas custom field types, setting up GoHighLevel Pipelines with the same stages and probability weights as Kylas, configuring Tags if the customer uses a tagging taxonomy in Kylas, and pre-creating any GoHighLevel Custom Objects for Kylas entities that do not map to standard GoHighLevel objects. Schema is validated in a GoHighLevel sandbox before production migration begins.
WhatsApp Business API configuration
We guide the customer through connecting their WhatsApp Business API account to GoHighLevel during the migration window. This includes verifying the phone number, configuring the WhatsApp inbox, and mapping WhatsApp conversation threads to the correct GoHighLevel Contact records. This step is customer-driven because it requires WABA credentials and WhatsApp Business verification that only the account owner can complete. We cannot migrate WhatsApp conversation history directly from Kylas; new conversations accumulate in GoHighLevel from the moment of connection.
Sandbox migration and reconciliation
We run a full migration into a GoHighLevel sandbox using a representative data sample. The customer reconciles record counts (Contacts in, Companies in, Deals in, Activities in), spot-checks 25-50 random records against the Kylas source for field accuracy, and signs off the schema and mapping before production migration begins. Any custom field mapping corrections, pipeline stage adjustments, or picklist value mismatches are resolved here.
Production migration in dependency order
We run production migration in record-dependency order: Companies first (as parent records), then Contacts (with Company association resolved), Deals (with Contact and pipeline stage resolved), Activity history (Tasks, Notes, Calls linked to Contact records), and Tags last (applied to existing Contact and Company records). Each phase emits a row-count reconciliation report before the next phase begins. We use GoHighLevel's API with rate-limit handling and batch chunking throughout.
Cutover, validation, and automation rebuild handoff
We freeze Kylas 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 deliver the Smart List criteria inventory and the Kylas Workflow automation documentation to the customer's admin team with recommended GoHighLevel Workflow equivalents. We support a one-week hypercare window where we resolve reconciliation issues. We do not rebuild Kylas Workflows as GoHighLevel Workflows inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Kylas Sales CRM
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 Kylas Sales CRM 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
Kylas Sales CRM: Not publicly documented.
Data volume sensitivity
Kylas Sales CRM 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.
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