CRM migration

Migrate from Atomic CRM to HighLevel

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

Atomic CRM logo

Atomic CRM

Source

HighLevel

Destination

HighLevel logo

Compatibility

63%

5 of 8

objects map 1:1 between Atomic CRM and HighLevel.

Complexity

BStandard

Timeline

1-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Atomic CRM logo

Atomic CRM

What's pushing teams away

  • Non-technical teams hit a dead end — Atomic CRM ships without a graphical UI for custom fields, user management, or pipeline configuration, requiring developer involvement for any change.
  • The platform lacks out-of-the-box automation, email sequences, and reporting dashboards that sales teams expect from mainstream CRMs, causing adoption to stall after initial setup.
  • Scaling beyond a few hundred active records surfaces the gap between a developer template and a production-grade SaaS — no SLA, no dedicated support, no built-in caching or performance tooling.
  • Teams that grow beyond one or two developers find the maintenance burden high — every upgrade to React, Supabase, or shadcn/ui risks breaking customizations without a test suite to catch regressions.
  • When a co-founder or the single developer maintaining the instance leaves, the CRM becomes orphaned code that nobody else on the team can safely modify or extend.

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 Atomic CRM objects map to HighLevel

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

maps to

HighLevel

Contact

1:1
Fully supported

Atomic 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

maps to

HighLevel

Contact / Company

1:1
Fully supported

Atomic 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

maps to

HighLevel

Opportunity

1:1
Fully supported

Atomic 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

maps to

HighLevel

Pipeline

lossy
Fully supported

Atomic 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

maps to

HighLevel

Task + Custom Field

lossy
Fully supported

Task 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

maps to

HighLevel

Notes / Opportunities

1:1
Fully supported

Atomic 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

maps to

HighLevel

Users

1:1
Mapping required

Atomic 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

maps to

HighLevel

Custom Fields

lossy
Mapping required

Custom 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.

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.

Atomic CRM logo

Atomic CRM gotchas

High

No hosted SaaS version — migration target is a Postgres database

High

Custom fields are schema changes, not UI-configured properties

Medium

CRM component props define business logic that lives in code, not data

Medium

No native file attachment export — storage backend varies by deployment

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

  • Atomic CRM has no REST API — migration reads from Supabase Postgres directly

    Atomic CRM does not expose a REST or GraphQL API. Every migration is a database-level extraction from the customer's Supabase Postgres instance. We connect to the Supabase database using credentials provided during scoping, run SELECT queries against the source tables, and write to GoHighLevel via the GoHighLevel REST API. We verify Supabase project credentials, confirm Row Level Security (RLS) policies that could block bulk reads, and test the connection against a small sample query before scoping the full extraction. There is no alternative export path through the application layer.

  • Deal stages and task types are TypeScript props, not database records

    Pipeline stage names and task type enumerations in Atomic CRM are passed as TypeScript props to the CRM root component in App.tsx — they do not appear in any Postgres table. If we do not receive the App.tsx configuration file during discovery, we cannot determine the stage names or task type values to replicate in GoHighLevel. All Deals would import without a pipeline assignment and all Tasks would import without a type classification. We request this file explicitly in the discovery questionnaire and pause the import phase until it is provided or the customer confirms the default stage and type values to use.

  • Supabase RLS policies can silently block database reads during extraction

    Supabase Row Level Security policies are enforced at the Postgres level and can cause SELECT queries to return zero rows for authenticated database users without the correct policy grants. We run a pre-migration RLS audit: we test each source table with the provided Supabase credentials and verify that the expected row counts return. If RLS blocks reads, we document the required policy grants and the customer adjusts them in Supabase Studio before we proceed. This step prevents silent data loss where records appear to exist but are invisible to the migration query.

  • File attachments require separate Supabase Storage coordination

    Atomic CRM may store file attachments in Supabase Storage buckets or an external S3 bucket depending on the deployment. File attachments are not part of the Postgres tables — only the attachment metadata references live in the database. If the customer requires file migration, we request the Supabase Storage configuration during scoping, export the bucket contents to a temporary location, and upload them to GoHighLevel as contact or opportunity attachments. Files stored in a custom S3 bucket require separate credentials and are handled as an add-on scope. If file migration is not scoped, we document the attachment list for the customer to handle manually.

  • No automation migrates because Atomic CRM ships without a workflow engine

    Atomic CRM does not include a workflow, sequence, or automation layer — there is no automation logic to migrate. GoHighLevel workflows and sequences are rebuilt from scratch in the platform's visual builder. We do not build GoHighLevel workflows as part of the data migration scope. We deliver a written inventory of the workflows the customer should build in GoHighLevel, including recommended triggers and actions based on the data patterns observed in the source database (for example, pipeline stage change triggers, task due date reminders, or contact tag-based email sequences). The customer or a GoHighLevel specialist rebuilds these post-migration.

Migration approach

Six steps for a successful Atomic CRM to HighLevel data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Atomic CRM logo

Atomic CRM

Source

Strengths

  • MIT-licensed full source code with no vendor lock-in or per-seat fees
  • Built on Supabase — Postgres backend with real-time subscriptions, auth, and storage in one stack
  • Configurable via CRM component props and Supabase Studio without forking the codebase
  • Includes PWA support, TypeScript throughout, and shadcn/ui design system out of the box
  • Integrates with GitHub, Google Workspace, Auth0, and Azure Active Directory

Weaknesses

  • No graphical admin UI for custom fields, pipeline configuration, or user management — developer required for any change
  • No built-in email sequences, marketing automation, or out-of-the-box reporting dashboards
  • No SLA, no dedicated support tier, and no official hosted option — self-managed entirely
  • Small community and limited third-party integrations compared to mainstream CRMs
  • Requires ongoing developer maintenance to keep React and Supabase dependencies current
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 Atomic CRM 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

    Atomic CRM: Per Supabase rate limits applicable to your project tier.

  • Data volume sensitivity

    A

    Atomic CRM exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Atomic CRM 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 Atomic CRM to HighLevel data migrations

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

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Most Atomic CRM to GoHighLevel migrations land between one and three weeks for accounts under 5,000 Contacts, 1,000 Companies, and 1,000 Deals with a straightforward schema. Migrations with large custom field sets, multiple Postgres tables with complex foreign key relationships, over 50,000 engagement records, or Supabase Storage buckets requiring file export extend to three to five weeks. The critical path item is often the schema audit and App.tsx configuration review — if stage and task type definitions are not available early, the import phase waits.

Adjacent paths

Related migrations to explore

Ready when you are

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