CRM migration

Migrate from Pawa to HighLevel

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

Pawa logo

Pawa

Source

HighLevel

Destination

HighLevel logo

Compatibility

75%

6 of 8

objects map 1:1 between Pawa and HighLevel.

Complexity

CModerate

Timeline

1-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Pawa logo

Pawa

What's pushing teams away

  • Limited public documentation and API transparency make it difficult for technical teams to evaluate the platform's data export capabilities before committing.
  • The platform appears to be better optimized for Android devices, leading Apple users to feel underserved and to seek alternatives with consistent cross-platform support.
  • Small review volume on G2 (only 2 reviews) makes it hard for prospective buyers to assess long-term reliability and support quality, prompting some to choose more established CRMs.

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 Pawa objects map to HighLevel

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

maps to

HighLevel

Contact

1:1
Fully supported

Pawa 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

maps to

HighLevel

Contact (Company type)

1:1
Fully supported

Pawa 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

maps to

HighLevel

Opportunity

1:1
Fully supported

Pawa 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

maps to

HighLevel

Pipeline Stage

lossy
Fully supported

Pawa 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

maps to

HighLevel

Custom Field (Contact or Opportunity)

lossy
Fully supported

Pawa 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

maps to

HighLevel

Tag

1:1
Fully supported

Pawa 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

maps to

HighLevel

User

1:1
Fully supported

Pawa 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

maps to

HighLevel

None

1:1
Fully supported

Pawa'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.

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.

Pawa logo

Pawa gotchas

High

No publicly documented bulk data export endpoint

High

Attachment files are not exposed via API

Medium

Small review sample limits platform reliability assessment

Low

Android preference may affect iOS user experience post-migration

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

  • Pawa field-record structured data has no direct GoHighLevel equivalent

    Pawa's offline-first field records store structured data against Contacts and Companies in a way that does not map directly to GoHighLevel's flat custom field model. A Pawa field record may represent a site visit, inspection, or data-collection event with multiple sub-fields. GoHighLevel has no native offline field record object. During scoping, we identify every Pawa field-record structure and work with the customer to decide whether to flatten the data into Contact or Opportunity custom fields, create a GoHighLevel custom object to receive the structured data, or convert the field record to a Note on the parent Contact. This decision gates the schema design phase and must be resolved before migration begins.

  • No Pawa bulk export endpoint; scoping requires live API validation

    Pawa does not publish a bulk export or batch API endpoint in available documentation. We request API credentials during scoping and enumerate available endpoints against the live schema. If a complete data export is not accessible via API, we work with the customer to use any available report or CSV download feature in Pawa and validate the resulting dataset against the live schema before mapping. This step adds one to three days to the scoping phase and may affect the migration timeline if manual export is required for large record sets.

  • GoHighLevel does not expose a Bulk API for large-scale imports

    GoHighLevel's REST API is designed for real-time integrations and single-record writes rather than bulk data loading at scale. For migrations exceeding 5,000 records, we use GoHighLevel's CSV import functionality through the UI (Contacts > Import) with a prepared CSV file, and supplement with API calls for records requiring custom field or lookup resolution. Large engagement history records (if applicable) are imported via the Opportunities and Tasks API in batched chunks. This differs from Salesforce Bulk API approaches used in other CRM migrations and requires careful batch sizing to avoid rate limit responses from GoHighLevel's API.

  • GoHighLevel workflows and automations are not migrated

    GoHighLevel's Workflow builder uses a trigger-and-action model that is specific to the platform. We do not migrate any automation logic from Pawa to GoHighLevel because Pawa has no documented public automation engine. We deliver a written inventory of GoHighLevel Workflow triggers and actions that are available for the customer's admin to configure post-migration based on their business process requirements. Pawa's task and reminder features are treated as manual process notes and are not converted to GoHighLevel automations.

Migration approach

Six steps for a successful Pawa to HighLevel data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Pawa logo

Pawa

Source

Strengths

  • Works reliably in low-connectivity and offline environments for field data collection.
  • Cross-device compatibility across Android, tablets, and mobile phones.
  • Straightforward mobile interface suitable for non-technical field users.

Weaknesses

  • Very limited public API documentation and low review volume hinder technical evaluation.
  • Appears to favour Android over iOS, creating an inconsistent experience for mixed-device teams.
  • No publicly documented bulk export mechanism, which complicates large-scale migrations.
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?

Moderate CRM migration. 5 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Pawa and HighLevel.

  • Object compatibility

    C

    5 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

    Pawa: Not publicly documented.

  • Data volume sensitivity

    B

    Pawa doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Pawa 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 Pawa to HighLevel data migrations

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

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Most Pawa to GoHighLevel migrations land between one and three weeks for accounts with fewer than 5,000 Contacts, 2,000 Companies, and 1,000 Deals with fewer than ten custom fields. Migrations with more than ten custom fields, field-record structured data requiring a GoHighLevel custom object, or large tag populations requiring a custom mapping strategy move to four to seven weeks. The key variable is the field-record strategy decision during scoping, which gates the schema design phase.

Adjacent paths

Related migrations to explore

Ready when you are

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