CRM migration
Field-level mapping, validation, and rollback between Berry crm and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Berry crm
Source
HighLevel
Destination
Compatibility
5 of 10
objects map 1:1 between Berry crm and HighLevel.
Complexity
CModerate
Timeline
1-2 weeks
Overview
Berry CRM is a lightweight, single-tenant CRM built for small teams by Raspberry IT Services. It lacks public API documentation, which means data extraction during migration scoping relies on direct export testing rather than schema references. GoHighLevel is an all-in-one marketing and CRM platform for agencies and SMBs with a REST API, sub-account architecture, and built-in calling, SMS, email, and workflow automation. We extract Berry CRM data through the most complete export path available, map Deals to GoHighLevel Opportunities, preserve Quote and Product catalog data in GoHighLevel Custom tables, and flag every custom field for explicit type-mapped resolution before import. Workflows, automations, and reporting dashboards do not migrate as code; we deliver a written inventory of these for the customer's admin to rebuild in GoHighLevel's visual workflow builder post-migration.
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 Berry 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.
Berry crm
Contact
HighLevel
Contact
1:1Berry CRM Contact records map to GoHighLevel Contact with name, email, phone, and address fields preserved. The primary challenge is that Berry CRM's exact field schema is not publicly documented, so we detect all available fields during discovery export and create explicit field-mapping rules for each one before import. GoHighLevel Contact custom fields are created via Settings > Custom Fields with object scoping before the migration pipeline runs.
Berry crm
Company
HighLevel
Company / Location
1:1Berry CRM Company records map to GoHighLevel Company (or Location within a Company). We preserve the contact-to-company relationship by resolving the company reference on each Contact during import. Any company-specific custom fields from Berry CRM are mapped to GoHighLevel Company custom fields or Location-level custom fields depending on the customer's data model preference established during scoping.
Berry crm
Deal
HighLevel
Opportunity
1:1Berry CRM Deals map to GoHighLevel Opportunities with stage name, amount, close date, and associated contact/company preserved. Pipeline stages from Berry CRM become GoHighLevel pipeline stages, which we configure as part of the schema setup phase. Stage probabilities and stage ordering are mapped explicitly since Berry CRM and GoHighLevel stage naming conventions differ.
Berry crm
Sales Quote
HighLevel
Opportunity / Custom Table
1:manyBerry CRM Quotes contain line items, pricing, and status tied to a Deal or Contact. We map Quote headers to GoHighLevel Opportunity records with the quote amount and status preserved. Quote line items are stored in a GoHighLevel Custom Table linked to the Opportunity, since GoHighLevel does not have a native Quote object equivalent to Salesforce's Quote. We flag quote PDF attachments for manual upload post-migration.
Berry crm
Product
HighLevel
Product / Custom Table
1:1Berry CRM Products map to GoHighLevel Products in the Product Catalog. Product name, description, and pricing migrate. If Berry CRM stores multiple price points per product (via Price Books), we map these to GoHighLevel Custom Tables or product variant fields depending on the destination's pricing model structure. Archived or inactive products are flagged for the customer's admin to review before import.
Berry crm
Price Book
HighLevel
Custom Table
lossyBerry CRM Price Books define named price lists associated with Products. Since GoHighLevel does not have a native Price Book object, we map Price Book data to a Custom Table linked to the Product Catalog, preserving the named price list structure. The customer chooses a Custom Table name during scoping that matches their business terminology.
Berry crm
Project
HighLevel
Task / Custom Table
1:manyBerry CRM Projects contain project metadata, status, and associated tasks. We map project-level metadata to a GoHighLevel Custom Table with status and dates preserved. The project's child tasks migrate to GoHighLevel Tasks linked to the relevant Contact or Opportunity record, preserving due dates and assignees. The depth of project-task data migration depends on the export completeness from Berry CRM.
Berry crm
Task
HighLevel
Task
1:1Berry CRM Tasks migrate to GoHighLevel Tasks with title, due date, assignee (resolved via email to GoHighLevel User), and completion status. Task associations to Contacts, Companies, or Deals are preserved via GoHighLevel's task linking fields. Completed tasks are imported with their completion status; open tasks import as open.
Berry crm
Invoice
HighLevel
Custom Table / Opportunity
1:manyBerry CRM Invoices contain line items, totals, payment status, and contact associations. We map invoice headers to a GoHighLevel Custom Table with status and totals preserved. Invoice line items are stored as a related Custom Table with the invoice header as the parent. Payment status and invoice-to-contact links are preserved in custom fields.
Berry crm
Custom Field
HighLevel
Custom Field
lossyBerry CRM custom fields on any primary object (Contact, Company, Deal) are detected during discovery export and mapped to GoHighLevel Custom Fields created via Settings > Custom Fields. GoHighLevel requires custom fields to be created before import with the correct field type (text, number, date, dropdown, checkbox). We map Berry CRM field types to GoHighLevel equivalents during the discovery phase and create all destination custom fields before any data moves.
| Berry crm | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Company / Location1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Sales Quote | Opportunity / Custom Table1:many | Fully supported | |
| Product | Product / Custom Table1:1 | Fully supported | |
| Price Book | Custom Tablelossy | Fully supported | |
| Project | Task / Custom Table1:many | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Invoice | Custom Table / Opportunity1:many | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully 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.
Berry crm gotchas
Very limited public documentation and schema
Single review on G2 with no peer data
Website URL contains a typo in domain
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 export testing
We run a discovery export from the customer's Berry CRM instance to map the actual field names, data types, custom field names, and object relationships present in their data. Given Berry CRM's lack of public documentation, this phase is essential. We extract Contacts, Companies, Deals, Quotes, Products, Projects, Tasks, Invoices, and any custom fields. We produce a written discovery report with the actual schema found, which forms the basis for all subsequent field mapping.
GoHighLevel schema setup and custom field creation
We configure the destination GoHighLevel account before any data loads. This includes creating Custom Fields for every Berry CRM custom field detected during discovery (via Settings > Custom Fields with object-level scoping), setting up pipeline stages in GoHighLevel mapped from Berry CRM pipeline names, creating Custom Tables for Quote and Price Book data, and establishing the sub-account structure. Custom fields and tables must be created before import because GoHighLevel does not accept data for fields that do not yet exist.
Data cleansing and mapping document
We run deduplication on the Berry CRM export, identifying duplicate Contacts (by email address) and duplicate Companies (by domain or name). We flag incomplete records missing required fields and present a cleansing recommendation to the customer before migration. We produce a written mapping document that pairs every Berry CRM field to its GoHighLevel equivalent with field type, required/optional status, and any transformation logic noted. The customer reviews and approves the mapping document before production migration begins.
Staged import in dependency order
We run production migration in dependency order: Companies (first, because Contacts link to them), Contacts (with CompanyId resolved), Opportunities (with ContactId and CompanyId resolved), Products and Price Book data (mapped to Custom Tables), Tasks (linked to Contacts or Opportunities), Quotes (as Custom Table rows linked to Opportunities), Invoices (as Custom Table rows), and Project data (as Custom Table plus Tasks). Each phase emits a row-count reconciliation report. Any record rejected during import is held in a retry queue with the error reason logged.
Cutover, validation, and rebuild handoff
We freeze writes to Berry CRM during the cutover window, run a final delta migration of any records modified during the migration run, then enable GoHighLevel as the system of record. We deliver a validation report comparing source and destination record counts per object. We deliver the Workflow and automation rebuild inventory document to the customer's admin, covering the task and project structures found in Berry CRM and recommended GoHighLevel Workflow equivalents. We do not rebuild GoHighLevel Workflows as part of migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Berry crm
Source
Strengths
Weaknesses
HighLevel
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 5 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Berry crm and HighLevel.
Object compatibility
5 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
Berry crm: Not publicly documented.
Data volume sensitivity
Berry 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.
Category
FAQ
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