CRM migration
Field-level mapping, validation, and rollback between Customer Database App and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Customer Database App
Source
HighLevel
Destination
Compatibility
6 of 8
objects map 1:1 between Customer Database App and HighLevel.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Moving from Customer Database App to GoHighLevel is a structural step up: you are trading a free, mobile-first contact manager for a full agency-operating-system that includes CRM, pipeline automation, SMS, email marketing, and appointment booking in one subscription. The migration is constrained by Customer Database App's absence of a public API — we extract exclusively through CSV or VCF exports, infer the active field schema from the export headers, and map each column to a GoHighLevel standard or custom field. GoHighLevel's contact model stores data as Contact records with a flat custom field set, which accommodates most user-defined Customer Database App schemas without transformation. Vouchers, phone call history, and MySQL-sync-only records that were never exported from the app do not migrate; we document these gaps in the scope and provide a supplemental CSV for manual re-entry where applicable.
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 Customer Database App 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.
Customer Database App
Contact
HighLevel
Contact
1:1Customer Database App Contacts map directly to GoHighLevel Contacts. Every exported CSV column becomes a field in GoHighLevel — standard fields (name, phone, email, address) map to their GoHighLevel equivalents; user-defined custom fields are pre-created in GoHighLevel before import so the CSV column headers have a matching destination field to write into. We infer the active field set from the first export file's column headers, flag any columns that do not yet exist in GoHighLevel, and the customer's admin creates the corresponding custom fields before we proceed with data load.
Customer Database App
Custom Properties
HighLevel
Custom Fields
1:1All user-defined fields from Customer Database App become GoHighLevel custom fields. Field type inference is based on the data values in the export — numeric strings become number fields, dates become date fields, yes/no strings become checkbox fields, and free-text fields become text fields. Comma-delimited values within a custom field are flagged and optionally split into tag records in GoHighLevel. We do not apply any automated type casting that would truncate or corrupt data; the admin reviews the type assignments during scoping before they are created in GoHighLevel.
Customer Database App
Pipeline Stages
HighLevel
Pipeline Stage
lossyCustomer Database App's Kanban pipeline stages are stored as a label value on each contact record. We extract the unique stage names from the exported dataset, create a corresponding GoHighLevel Pipeline with matching stage labels, and map each contact's stage assignment to the appropriate stage in the new pipeline. If the customer has used multiple named pipelines in Customer Database App, each one becomes a separate GoHighLevel Pipeline with its own stage configuration.
Customer Database App
Groups / Tags
HighLevel
Tags
1:manyCustomer Database App exports groups and tags as comma-separated strings within a field on each contact record. We split these into individual tag labels and apply them to the corresponding GoHighLevel Contact records. Tags that do not yet exist in GoHighLevel are created during import. The tag values are preserved verbatim; no renaming or normalization is applied unless the customer requests it during scoping.
Customer Database App
Birthday Records
HighLevel
Birthday Custom Field
1:1Birthday dates export from Customer Database App as a standard date column. We map this to a GoHighLevel custom date field named Birthday. If the customer prefers, we can map it to a dedicated birthday or anniversary field in GoHighLevel if one exists in their account. The date format in the CSV is normalized to ISO 8601 before import to avoid format mismatches.
Customer Database App
Company Name
HighLevel
Contact Company Field
1:1Customer Database App does not have a standalone Companies object — company information is stored as a free-text field on the contact record. We map this to the Company field on the GoHighLevel Contact. If the customer wants to use GoHighLevel's separate Company model, we can create a Company record per unique company name and link the Contact to it as a 1:N relationship, but this requires the customer to confirm whether the existing company data is rich enough to justify the split.
Customer Database App
Documents / Attachments
HighLevel
Contact Attachments
1:1Contact images and PDF exports of individual Customer Database App records can be bundled into a ZIP archive alongside the CSV. We map each contact's image or PDF to the corresponding GoHighLevel Contact attachment field. Large attachments over GoHighLevel's file size limits are flagged and the customer decides whether to upload them manually post-migration or store them in a linked Google Drive or Dropbox folder with the URL recorded as a custom field.
Customer Database App
Vouchers
HighLevel
None
1:1Vouchers are a standalone object in Customer Database App with no direct equivalent in GoHighLevel's standard CRM model. Voucher balances are not exported via CSV and cannot be recovered through the app's export function. We do not migrate voucher data. We recommend exporting any voucher records as a separate supplemental CSV for manual re-entry in GoHighLevel or a dedicated voucher management tool if the customer's business relies on voucher tracking.
| Customer Database App | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Custom Properties | Custom Fields1:1 | Mapping required | |
| Pipeline Stages | Pipeline Stagelossy | Fully supported | |
| Groups / Tags | Tags1:many | Mapping required | |
| Birthday Records | Birthday Custom Field1:1 | Mapping required | |
| Company Name | Contact Company Field1:1 | Fully supported | |
| Documents / Attachments | Contact Attachments1:1 | Mapping required | |
| Vouchers | None1:1 | 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.
Customer Database App gotchas
No API means migration runs through CSV exports only
User-defined schema creates field mapping ambiguity
MySQL sync creates a parallel data source that must be reconciled
Voucher and birthday objects have no standard CRM equivalent
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
Export and schema discovery
We guide the customer through generating a complete CSV export from Customer Database App. If MySQL sync is active, we attempt to connect to the MySQL instance to retrieve the most up-to-date dataset. We inspect the export headers to build the active field list, identify custom field types by sampling data values, count unique pipeline stage names, and identify any tag or group columns. We deliver a schema-inference report listing every source field, its inferred type, its GoHighLevel destination (standard field or custom field to be created), and any fields that have no mapping and will be dropped. The customer reviews and approves the schema report before we begin provisioning in GoHighLevel.
GoHighLevel custom field provisioning
We create every custom field in GoHighLevel that is required by the source schema but does not already exist as a standard field. This includes typed fields for dates, numbers, checkboxes, and dropdowns. Standard fields (name, email, phone, address) are mapped automatically. We also create the pipeline and stage configuration in GoHighLevel matching the stage names and order from Customer Database App. All provisioning is done in the customer's live GoHighLevel account or in a designated sandbox environment if they prefer a validation step before production data is loaded.
Data cleaning and transformation
We transform the CSV export before loading into GoHighLevel. This includes splitting comma-separated tag strings into individual tag records, normalizing date formats to ISO 8601, sanitizing free-text fields that contain characters that break CSV parsing (embedded commas, newlines, unescaped quotes), deduplicating contacts on email address where a dedupe key is provided, and resolving any encoding issues from non-English character sets. We produce a cleaned CSV and a transformation log documenting every change made.
Contact import with tag resolution
We load contact records into GoHighLevel using the platform's native contact import endpoint, chunking the dataset into batches to respect rate limits. Each contact is associated with its pipeline stage and its assigned tag values. Tags are created in GoHighLevel during import if they do not already exist. We run a post-import reconciliation comparing the row count in the source CSV against the contact count in GoHighLevel and flag any records that failed to import with the error reason returned by the API.
Supplemental data and gap documentation
We package any data that cannot be migrated automatically — voucher records, call history, and any MySQL-only records not present in the CSV export — into a supplemental CSV with column headers and instructions for manual re-entry. We also attach any bundled ZIP of contact images and PDFs to the corresponding GoHighLevel contact records where file size limits permit. The customer receives a migration completion report listing all migrated records, all dropped records with reasons, and all supplemental data requiring manual action.
Cutover and post-migration verification
We freeze writes to Customer Database App during the cutover window, run a final delta export capturing any records modified since the initial export, load the delta into GoHighLevel, and confirm the total contact count matches. We spot-check 20-30 records in GoHighLevel against the source to verify field-level accuracy. We deliver the written migration report and the supplemental data package. We do not rebuild Customer Database App automations (none exist in this source) or configure GoHighLevel workflows as part of the migration scope; these are separate engagements for the customer's admin or a GoHighLevel implementation partner.
Platform deep dives
Customer Database App
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 Customer Database App 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
Customer Database App: Not applicable — no API exists.
Data volume sensitivity
Customer Database App 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.
Category
FAQ
Answers to the questions buyers ask most during Customer Database App to HighLevel migration scoping. Not seeing yours? Book a call.
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