CRM migration
Field-level mapping, validation, and rollback between Ploomes CRM and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Ploomes CRM
Source
HighLevel
Destination
Compatibility
5 of 8
objects map 1:1 between Ploomes CRM and HighLevel.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Ploomes CRM to GoHighLevel is a structural shift from a Brazilian-centric B2B sales CRM with CPQ and proposal automation toward an all-in-one agency and SMB platform that bundles CRM, marketing automation, funnels, and telephony under one flat monthly subscription. Ploomes organizes data around Contacts, Companies, Deals, Products, and Quotes with Brazilian CNPJ/CPF identification fields; GoHighLevel uses a unified Contact model with Opportunities (pipeline-based deals) and a separate Products catalog. We resolve CNPJ/CPF fields as custom fields on GoHighLevel Contacts, map Ploomes Deal stages to GoHighLevel Opportunity stages, and preserve Quotes as Opportunity line items or custom field notes since GoHighLevel lacks a native quote versioning object. Workflow automations, proposal templates, and Sankhya ERP synchronization settings are not accessible via Ploomes public API and require manual reconstruction in GoHighLevel using its workflow builder and document tools. The migration scope covers all record objects with API-accessible data; automations and templates receive a written audit inventory for the customer admin to rebuild 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 Ploomes 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.
Ploomes CRM
Contact
HighLevel
Contact
1:1Ploomes Contacts map to GoHighLevel Contacts. Standard fields (name, email, phone, address) transfer directly. Brazilian CNPJ (corporate tax ID) and CPF (individual tax ID) fields from Ploomes migrate as custom fields on GoHighLevel Contact (e.g., custom_cnpj__c, custom_cpf__c) that the customer's GoHighLevel admin defines before import. Tag associations on Contacts migrate to GoHighLevel Contact Tags. Contact ownership (HubSpot-style Owner field) maps to GoHighLevel Assigned To on the Contact record.
Ploomes CRM
Company
HighLevel
Contact (Company Info section)
lossyPloomes Companies are a distinct object; GoHighLevel does not have a separate Account/Company object—company information lives in the Contact record's Company Info section. We extract Company name, CNPJ, address, and industry from Ploomes Company and write them into the corresponding Contact record's company fields. This means each unique Company becomes a Contact record; if multiple Contacts share the same Ploomes Company, we deduplicate by creating one Contact with company info and linking others via a custom company_id__c field. The customer chooses the deduplication strategy during scoping.
Ploomes CRM
Deal
HighLevel
Opportunity
1:1Ploomes Deals map to GoHighLevel Opportunities. Deal value, stage, owner, expected close date, and custom fields transfer directly. Ploomes Pipeline Stages map to GoHighLevel Pipeline Stages; we configure the destination pipeline in GoHighLevel during schema design so that stage names and probabilities match. Deal-Contact associations migrate as Opportunity-Contact relationships in GoHighLevel.
Ploomes CRM
Pipeline Stage
HighLevel
Pipeline Stage
lossyPloomes Pipeline Stages (names, order, probabilities) map to GoHighLevel Pipeline Stages. We create the GoHighLevel pipeline structure during the schema phase before any Opportunity import, preserving stage names and win/loss status indicators. Stage order in Ploomes becomes the stage sequence in GoHighLevel.
Ploomes CRM
Product
HighLevel
Product
1:1Ploomes Products with Groups and Parts hierarchy map to GoHighLevel Products. Product name, code, price, and custom fields transfer directly. GoHighLevel Products use a flat structure; if the customer uses Ploomes product groups for pricing segmentation, we create separate Products in GoHighLevel with naming conventions that preserve the group context (e.g., Group Name: Product Name). Products must exist in GoHighLevel before any Opportunity line item import.
Ploomes CRM
Quote
HighLevel
Opportunity (line items + custom field notes)
lossyPloomes Quotes are a complex object with version history, approval status, and PDF attachments. GoHighLevel does not have a native Quote object with versioning. We migrate Quote line items as Opportunity line items with pricing from the most recent Quote revision. We document Quote version count per Deal during scoping and flag that prior revisions are not accessible via Ploomes API—customers who need quote history must manually export PDF snapshots before migration. Quote approval status migrates as a custom picklist field on the Opportunity.
Ploomes CRM
Task
HighLevel
Task
1:1Ploomes Tasks linked to Contacts or Deals migrate to GoHighLevel Tasks. Task title, due date, owner, status (Open/Completed), task type, and notes transfer directly. Task associations (linked Contact or Opportunity) resolve via external ID lookup during import. Ploomes API pagination is capped at 300 records per request; we chunk Task exports using cursor pagination across all Task endpoints.
Ploomes CRM
Tag
HighLevel
Tag
1:1Ploomes Tags applied across Contacts, Deals, and Companies migrate as GoHighLevel Tags. Tag names transfer directly; GoHighLevel Tags are a flat system applied across contacts and opportunities. We extract all unique tag names from Ploomes Contacts and Deals during scoping and create matching tags in GoHighLevel before record import so that tag associations apply immediately on insert.
| Ploomes CRM | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Contact (Company Info section)lossy | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline Stage | Pipeline Stagelossy | Fully supported | |
| Product | Product1:1 | Fully supported | |
| Quote | Opportunity (line items + custom field notes)lossy | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Tag | Tag1:1 | 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.
Ploomes CRM gotchas
API pagination limit of 300 records per request
User-Key auth requires admin-level access
Workflow automations are not exported via public API
Quote version history is not programmatically accessible
Modular pricing means actual cost depends on selected add-ons
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 Ploomes API audit
We audit the source Ploomes account across all accessible API endpoints, measuring record counts for Contacts, Companies, Deals, Tasks, Products, Quotes, and Tags. We identify any CNPJ/CPF custom field definitions, active Ploomes Workflows (for the written audit), and Quote revision counts. We confirm admin-level API key access with the customer, since only Ploomes admin users can generate integration keys. The discovery output is a written scope document with record counts, a schema gap analysis, and a GoHighLevel pipeline configuration plan.
GoHighLevel pipeline and custom field schema design
We create the GoHighLevel pipeline structure (stages, probabilities, win/loss indicators) matching the Ploomes pipeline. We define custom fields for CNPJ/CPF on Contact, Quote approval status on Opportunity, and any Ploomes custom field types (text, number, date, picklist) that need a GoHighLevel equivalent. Custom fields are created in GoHighLevel via Settings before any data import. We also decide the Company-to-Contact deduplication strategy (one Contact per Ploomes Company vs multiple Contacts per Company) based on the customer's account-based selling model.
Data extraction with pagination chunking
We extract all record objects from Ploomes using cursor-based pagination across endpoints with the 300-item cap (Contacts, Deals, Tasks, Orders). Each export run produces a JSON or CSV artifact per object. We extract Quote current states and note Quote revision counts for the PDF-capture recommendation. Tag names are extracted as a separate lookup table for GoHighLevel tag creation. Exports run against the live Ploomes account during a low-activity window agreed with the customer.
Data transformation and field mapping
We transform extracted records according to the mapping schema: Ploomes Contact fields map to GoHighLevel Contact fields (with CNPJ/CPF to custom fields), Ploomes Companies map to Contact Company Info sections, Deals map to Opportunities with pipeline stage IDs resolved, Products map to GoHighLevel Products, and Quotes map to Opportunity line items plus approval status custom fields. Tag associations are resolved against the tag lookup table. Owner assignments (Ploomes User) are mapped to GoHighLevel Assigned To by email match.
GoHighLevel import in dependency order
We import into GoHighLevel in dependency order: Products first (required for Opportunity line items), then Tags (for immediate availability on import), then Contacts (with Company Info resolved), then Opportunities (with stage, contact, and product references resolved), then Tasks (with Contact and Opportunity lookups resolved). Each phase emits a row-count reconciliation report. API rate limits on GoHighLevel are handled with exponential backoff and batch chunking. We flag any records that fail validation (required field missing, invalid format) for the customer's admin to correct before retry.
Cutover, Quote PDF handoff, and Workflow audit delivery
We freeze Ploomes writes during cutover and run a final delta migration of any records modified during the migration window. GoHighLevel becomes the system of record. We deliver the Quote PDF capture instructions (for customers who need quote history), the Workflow audit checklist describing each active Ploomes workflow for GoHighLevel rebuild, and the Quote approval-status migration report. We support a 72-hour hypercare window for reconciliation issues. Workflows, automations, and proposal templates are not rebuilt inside migration scope; the audit checklist is the handoff document for the customer's admin.
Platform deep dives
Ploomes 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 Ploomes 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
Ploomes CRM: Not publicly documented.
Data volume sensitivity
Ploomes 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
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