CRM migration
Field-level mapping, validation, and rollback between Pawa and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Pawa
Source
HighLevel
Destination
Compatibility
6 of 8
objects map 1:1 between Pawa and HighLevel.
Complexity
CModerate
Timeline
1-3 weeks
Overview
Pawa and GoHighLevel serve different primary use cases. Pawa is a Quebec-built offline-first mobile CRM for field teams collecting data in low-connectivity environments; GoHighLevel is an all-in-one marketing, sales, and CRM platform built for agencies and service businesses. The migration is primarily a Contact, Company, and Deal record move with a significant custom-field mapping phase because Pawa's offline field-record structure does not have a direct GoHighLevel equivalent. We enumerate every Pawa custom field and mapped field at scoping time, build the GoHighLevel custom field schema before import, and write all records through GoHighLevel's Contacts and Opportunities API with parent-record lookup resolution for Company linking. GoHighLevel's pricing ($97-$497/month flat) eliminates per-contact metering concerns that Pawa users have never encountered but will find refreshingly predictable. Automations, workflows, and field-collection templates do not migrate; we deliver a written inventory for the customer's admin to rebuild in GoHighLevel's Workflow builder.
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 Pawa 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.
Pawa
Contact
HighLevel
Contact
1:1Pawa Contact records (name, phone, email, and custom fields) map to GoHighLevel Contact. Standard fields (first_name, last_name, email, phone, address) migrate directly. Custom fields on Pawa Contacts require pre-creation of GoHighLevel custom fields during the schema phase. We discover all Pawa Contact field names and types via API at scoping time, build a field map, and apply it before the first record is written. GoHighLevel's Contact object does not have a dedicated Phone2 or Mobile field; we use the default phone field and note any secondary phone placement in the field map.
Pawa
Company
HighLevel
Contact (Company type)
1:1Pawa Company records (name, address, and linked contacts) map to GoHighLevel Contact records with Contact Type set to Company. The Company-to-Contact relationship from Pawa is preserved by linking each child Contact record to the parent Company Contact using GoHighLevel's address fields and company association. We resolve the parent record by company name before writing child contact records to satisfy the lookup.
Pawa
Deal
HighLevel
Opportunity
1:1Pawa Deal records (value, stage, and linked contacts) map to GoHighLevel Opportunity. Deal value maps to Opportunity Value; stage name maps to the corresponding GoHighLevel Pipeline Stage. GoHighLevel uses a Pipeline and Stage model that is more customizable than Pawa's basic stage structure. We create the target Pipeline in GoHighLevel before migration, define Stage entries matching Pawa's stage names, and apply the mapping at import time.
Pawa
Pipeline Stage
HighLevel
Pipeline Stage
lossyPawa pipeline stages map to GoHighLevel Pipeline Stage entries. We configure GoHighLevel Pipelines and Stages during the schema design phase, preserving stage order and naming conventions from Pawa. GoHighLevel allows probability percentages per stage; we set these to defaults and flag for customer review if specific probability values are business-critical.
Pawa
Custom Field
HighLevel
Custom Field (Contact or Opportunity)
lossyPawa custom fields on Contacts and Companies are discovered via API at scoping time. Each custom field is evaluated by type (text, number, date, picklist, checkbox) and mapped to the equivalent GoHighLevel custom field type. We pre-create GoHighLevel custom fields (under Settings > Custom Fields) before any records are imported. Pawa field-record structured data that does not fit a flat custom field on Contact or Opportunity is flagged as requiring a GoHighLevel custom object or a note field, and the customer decides the approach during scoping.
Pawa
Tag
HighLevel
Tag
1:1Pawa Tags stored as flat string arrays on Contact and Company records map to GoHighLevel Tags. We extract all unique tag values from the source, create them in GoHighLevel (if they do not already exist), and associate them with the target Contact or Opportunity records during import. Note that GoHighLevel tags are labels that do not carry inheritance or hierarchy logic; if Pawa tags use a hierarchical or nested structure, we flatten them to a flat label list and document the flattening rule.
Pawa
User
HighLevel
User
1:1Pawa User records (name, email, role) are exported and mapped to GoHighLevel User records. We resolve Pawa Owner references on Contact, Company, and Deal records to GoHighLevel User records by email match. Any Pawa User without a matching GoHighLevel User is placed in a reconciliation queue for the customer's admin to provision. Inactive Pawa users are flagged and excluded unless the customer requests otherwise.
Pawa
Attachment
HighLevel
None
1:1Pawa's API does not expose file attachments in a documented endpoint. We do not migrate attachments. Before migration, we enumerate all attachment-bearing records in the source account and provide a list so the customer can manually download and re-upload files post-migration to GoHighLevel's native file attachment model. Attachment-bearing records are excluded from the record count used to scope migration timelines and pricing.
| Pawa | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Contact (Company type)1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline Stage | Pipeline Stagelossy | Fully supported | |
| Custom Field | Custom Field (Contact or Opportunity)lossy | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Attachment | None1:1 | 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.
Pawa gotchas
No publicly documented bulk data export endpoint
Attachment files are not exposed via API
Small review sample limits platform reliability assessment
Android preference may affect iOS user experience post-migration
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
Schema discovery and API validation
We request Pawa API credentials and enumerate the live endpoint surface against the source account. We validate the available objects (Contact, Company, Deal, User, Custom Field, Tag) and confirm which fields are readable. If a bulk export endpoint is not available, we identify the closest alternative (single-record enumeration, report export, or CSV download) and scope the manual export assistance required. We pair this with a GoHighLevel custom field audit in the destination account and begin the schema design document that maps each Pawa field to a GoHighLevel field or flags it as requiring a custom object.
Field-record strategy and GoHighLevel schema setup
We review every Pawa field-record structured data collection and present the customer with three options: flatten to Contact or Opportunity custom fields, create a GoHighLevel custom object, or convert to a Note. The customer selects the strategy and we build the GoHighLevel schema accordingly: custom fields are created under Settings > Custom Fields, custom objects are provisioned with API names matching the Pawa field-record type name, and pipelines and stages are configured under the Opportunities module. Schema is validated in the GoHighLevel sandbox before any production data is written.
Sandbox migration and reconciliation
We run a full migration into a GoHighLevel test sub-account using a representative sample of records (typically 100-500 records per object type). The customer reconciles record counts, spot-checks field values, and confirms that the field-record-to-custom-field mapping produces the expected data layout. Any mapping corrections are documented and applied to the production migration script before the next phase begins.
Owner and User provisioning
We extract every distinct Pawa Owner referenced on Contact, Company, and Deal records and match by email against the GoHighLevel destination account's User list. Any Pawa Owner without a matching GoHighLevel User is placed in a reconciliation queue for the customer to provision before migration proceeds. We flag inactive Pawa users for exclusion unless the customer requests they be included.
Production migration in dependency order
We run production migration in record-dependency order: Tags (created first so they are available for assignment), Contacts (from Pawa Contacts and Companies), Opportunities (with pipeline and stage resolved), and Custom Object records (last, because they often have lookups to Contact or Opportunity). Each phase emits a row-count reconciliation report. We use GoHighLevel's CSV import for bulk Contact and Company records and supplement with API calls for records requiring lookup resolution, custom field population, or tag assignment.
Cutover, validation, and automation inventory handoff
We freeze writes to Pawa during cutover, run a final delta migration of any records modified during the migration window, and then enable GoHighLevel as the system of record. We deliver the Automation Inventory document listing every GoHighLevel Workflow trigger and action available for the customer's admin to configure, along with a field-record mapping summary for any structured data placed in custom objects or Notes. We support a three-day post-cutover window for reconciliation issues. We do not rebuild workflows or automations in GoHighLevel; that is a separate configuration engagement.
Platform deep dives
Pawa
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 Pawa 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
Pawa: Not publicly documented.
Data volume sensitivity
Pawa 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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