CRM migration
Field-level mapping, validation, and rollback between Atomic CRM and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Atomic CRM
Source
HighLevel
Destination
Compatibility
5 of 8
objects map 1:1 between Atomic CRM and HighLevel.
Complexity
BStandard
Timeline
1-3 weeks
Overview
Moving from Atomic CRM to GoHighLevel is a database-first migration rather than an API-to-API migration. Atomic CRM exposes no native REST or GraphQL endpoint — data lives in a Supabase Postgres database that we query directly. We begin every engagement with a full schema audit of the Postgres tables to discover every column, including custom fields added through Supabase Studio that have no in-app representation. Deal pipeline stages and task types in Atomic CRM are passed as TypeScript props in App.tsx, not stored in the database; we ask the customer to share this file during scoping so we can replicate the enumeration in GoHighLevel before importing records. We load Contacts, Companies, Deals, Notes, and Tasks into GoHighLevel via the REST API using batched requests and exponential backoff on 429 responses. Custom fields, pipeline stages, and task type values require manual configuration in GoHighLevel before import; we document each configuration step so the customer's admin can replicate the source schema. We do not migrate file attachments from Supabase Storage unless explicitly scoped, and we do not migrate any automation logic because Atomic CRM ships without a workflow engine to begin with.
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 Atomic 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.
Atomic CRM
Contact
HighLevel
Contact
1:1Atomic CRM Contacts map directly to GoHighLevel Contacts. Each record carries UUID primary key, name fields, email, phone, company association (via foreign key to the companies table), and any custom columns discovered in the Postgres schema. We resolve the company reference by looking up the source company UUID against the Companies migration map to populate the GoHighLevel Contact's company or agency association. UUIDs do not carry forward — each GoHighLevel Contact receives a new system-generated ID.
Atomic CRM
Company
HighLevel
Contact / Company
1:1Atomic CRM Company records map to GoHighLevel Contacts with the business name as the primary identifier, or to GoHighLevel Companies if the destination account uses the Companies object. We determine the preferred target object during scoping based on the customer's GoHighLevel account configuration. Website, address, and custom fields migrate to matching GoHighLevel custom fields that we create before import.
Atomic CRM
Deal
HighLevel
Opportunity
1:1Atomic CRM Deals map to GoHighLevel Opportunities. Deal title, value, and close date transfer directly. Pipeline stage and deal category are stored as TypeScript props in App.tsx, not in the Postgres schema — we capture these enum values during scoping and pre-create the GoHighLevel pipeline with matching stage names before migration begins. Any custom columns on the deals table become GoHighLevel Opportunity custom fields.
Atomic CRM
Pipeline stages
HighLevel
Pipeline
lossyAtomic CRM does not store pipeline stage definitions in the database — stages are passed as CRM component props in App.tsx. We request the App.tsx configuration file during discovery to extract the stage names, their order, and any probability or status values. We then create the corresponding GoHighLevel Pipeline and stages manually before importing any Deal records. The customer replicates the stage configuration in their GoHighLevel account before we begin the Opportunity import phase.
Atomic CRM
Task types
HighLevel
Task + Custom Field
lossyTask types (Call, Email, Meeting, and any custom types) in Atomic CRM are defined as a TypeScript enum passed to the CRM component — not stored in the database. We extract the enum values from the shared App.tsx configuration file and create a corresponding dropdown custom field in GoHighLevel Tasks before migration. We then set the task_type__c field on each migrated Task record to the matching source value. Without App.tsx, the task type is unknown and all imported tasks receive a default classification.
Atomic CRM
Notes
HighLevel
Notes / Opportunities
1:1Atomic CRM Notes linked to Contacts or Deals migrate to GoHighLevel Notes attached to the corresponding Contact or Opportunity. Note body and timestamp transfer directly. We preserve the parent reference by resolving the source record UUID to the newly created GoHighLevel ID using the UUID-to-ID map built during the Contact and Deal import phases.
Atomic CRM
Users
HighLevel
Users
1:1Atomic CRM owner references use Supabase Auth UUIDs. We extract every distinct UUID appearing on Contacts, Companies, Deals, and Tasks, then request a list of active GoHighLevel Users matched by email address. We build a UUID-to-User-ID lookup table before importing any records. Any owner without a matching GoHighLevel User is flagged in a reconciliation report and held from import until the customer provisions the missing User account.
Atomic CRM
Custom Fields
HighLevel
Custom Fields
lossyCustom fields in Atomic CRM are Postgres columns added through Supabase Studio — not managed in any application UI. We run a pre-migration schema diff against a reference export to enumerate every column on every table. Each column maps to a GoHighLevel Custom Field created on the corresponding object before data import. Column type mapping from Postgres data types (varchar, integer, boolean, timestamp, jsonb) to GoHighLevel field types is handled in this configuration phase. Schema discovery must be complete before any record import begins.
| Atomic CRM | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Contact / Company1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline stages | Pipelinelossy | Fully supported | |
| Task types | Task + Custom Fieldlossy | Fully supported | |
| Notes | Notes / Opportunities1:1 | Fully supported | |
| Users | Users1:1 | Mapping required | |
| Custom Fields | Custom Fieldslossy | Mapping required |
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.
Atomic CRM gotchas
No hosted SaaS version — migration target is a Postgres database
Custom fields are schema changes, not UI-configured properties
CRM component props define business logic that lives in code, not data
No native file attachment export — storage backend varies by deployment
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 schema audit
We request the Supabase project credentials and the App.tsx (or equivalent) configuration file from the customer. We connect to the Postgres database and run a full schema audit: we enumerate every table, column, data type, foreign key constraint, and any custom indexes or RLS policies. We run a row count on each table and extract a sample of records to validate data quality. We cross-reference the App.tsx props to capture the pipeline stage names and task type enumerations. The discovery output is a written migration scope with record counts, custom field inventory, and a flag for any Supabase Storage buckets containing attachments.
GoHighLevel account configuration
Before importing any records, we create the GoHighLevel Pipelines, custom fields, and any required tags to match the source schema. Pipeline stages are created in GoHighLevel using the stage names extracted from App.tsx. Custom fields are added to the Contact, Company, and Opportunity objects in GoHighLevel matching each Postgres column discovered during schema audit. We configure the GoHighLevel account permissions to allow the migration User full contact and opportunity write access. The customer completes this configuration step in their GoHighLevel account, or we configure it using the GoHighLevel API if the customer provides the necessary credentials.
Owner UUID reconciliation
We extract every distinct Supabase Auth UUID appearing in the owner_id columns across Contacts, Companies, Deals, and Tasks. We request a list of GoHighLevel Users by email from the destination account. We build a UUID-to-User-ID mapping table and validate that every owner in the source data has a matching GoHighLevel User. Any owner without a match is written to a reconciliation report for the customer to provision the missing GoHighLevel User. Migration of record-ownable objects cannot begin until owner reconciliation is complete because GoHighLevel requires a valid OwnerId on Opportunity and Task records.
Database extraction and data loading
We extract records from Supabase Postgres in dependency order: Companies first, then Contacts (with company UUID resolved to GoHighLevel company ID), then Deals (with pipeline stage and owner resolved), then Tasks and Notes (with parent record IDs resolved). We use batched SELECT queries to avoid memory pressure on the Supabase instance and respect any query duration limits. Each batch is transformed to the GoHighLevel field schema and loaded via the GoHighLevel REST API with batched POST requests. We implement exponential backoff on 429 rate-limit responses and log every failed record for later retry. Supabase Storage bucket contents, if scoped, are exported in parallel to the database extraction.
Cutover, validation, and documentation delivery
We run a final reconciliation report comparing source database record counts against GoHighLevel destination record counts for each object. The customer spot-checks 25-50 records for field-level accuracy. We deliver a written migration report including record counts by object, any records that failed to import with error reason, a list of GoHighLevel custom fields created, a list of pipeline stages configured, and the App.tsx task type mapping. We provide a one-week hypercare window to resolve any data quality issues reported by the customer's team. We do not rebuild GoHighLevel workflows or automations inside the migration scope.
Platform deep dives
Atomic 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 Atomic 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
Atomic CRM: Per Supabase rate limits applicable to your project tier.
Data volume sensitivity
Atomic CRM exposes a bulk API — large-volume migrations stream efficiently.
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 Atomic CRM to HighLevel migration scoping. Not seeing yours? Book a call.
Walk through your Atomic CRM to HighLevel migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Atomic CRM
Other ways to arrive at HighLevel
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.