CRM migration
Field-level mapping, validation, and rollback between Gamooga and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Gamooga
Source
HighLevel
Destination
Compatibility
7 of 8
objects map 1:1 between Gamooga and HighLevel.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Gamooga to GoHighLevel is a migration from a behavioral marketing automation platform into a CRM-first all-in-one platform. Gamooga organizes its data around Users, Segments (built from behavioral rules), Campaigns, and Events; GoHighLevel uses Contacts, Opportunities, and Workflows. We migrate user profiles as GoHighLevel Contacts, preserving behavioral attributes from Gamooga's custom property layer as contact fields, and we map campaign records to GoHighLevel Opportunities with pipeline stages configured to match the original campaign lifecycle. Gamooga's dynamic segment rules cannot be exported as portable configuration and must be rebuilt in GoHighLevel using its filter and tag system; we extract the rule logic as human-readable criteria and deliver it as a rebuild guide. Events from Gamooga migrate as GoHighLevel activity records (tasks and notes) with timestamps preserved. Channels, the native push and SMS delivery infrastructure, do not migrate because they are Gamooga-specific; we migrate the audience and content intent only. GoHighLevel's pricing starts at $97 per month on the Starter plan with unlimited contacts, which is a fraction of comparable CRM stacks, and the platform is actively maintained with a large partner ecosystem, unlike Gamooga's smaller review volume and limited public API surface.
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 Gamooga 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.
Gamooga
Users
HighLevel
Contact
1:1Gamooga User profiles map to GoHighLevel Contact records. The email address, mobile number, and all custom properties uploaded via Historic Data Push migrate as standard and custom contact fields. Behavioral attributes stored as custom properties (e.g., lifetime value, last purchase date, acquisition source) migrate as typed custom fields in GoHighLevel. We preserve the original Gamooga user_id in a custom field gamooga_user_id__c for cross-reference during validation.
Gamooga
Campaigns
HighLevel
Opportunity
1:1Gamooga Campaign records map to GoHighLevel Opportunity objects. Campaign name and status map directly; campaign type (lifecycle vs promotional) maps to a GoHighLevel custom Opportunity field campaign_type__c. We configure a pipeline in GoHighLevel that mirrors Gamooga's campaign stages (e.g., Active, Paused, Completed, Archived) and map campaign owner to GoHighLevel User via email match. Channel-specific configuration (push template IDs, SMS sender IDs) does not migrate because those are Gamooga-specific bindings.
Gamooga
Segments
HighLevel
Filter + Tag
lossyGamooga dynamic Segments are built from behavioral rules (demographics, location, purchase history, app behavior). We extract the full rule structure as human-readable filter criteria and deliver a written segment rebuild guide with GoHighLevel filter equivalents. Behavioral attributes present in Gamooga that have no GoHighLevel analog (e.g., app session depth, in-app event frequency) are flagged as missing fields in the guide. GoHighLevel tags serve as a lightweight audience grouping mechanism but do not replicate the real-time evaluation logic of Gamooga Segments; rebuild is manual.
Gamooga
Events
HighLevel
Task (Activity)
1:1Gamooga Events (page views, purchases, cart actions) migrate to GoHighLevel Task records as activity history. Event type maps to Task Subject with a custom field event_type__c for filtering; event timestamp maps to Task Activity Date for timeline ordering; event metadata (e.g., page URL, product ID, cart value) maps to custom Task fields or the Task description. This preserves the behavioral timeline in GoHighLevel's activity feed against the correct Contact.
Gamooga
Custom Properties
HighLevel
Custom Fields
1:1Extended user properties uploaded via Gamooga's Historic Data Push migrate as GoHighLevel custom fields on Contact. We preserve data type where identifiable (string, number, date, boolean) and map to the closest GoHighLevel field type. Ambiguously typed properties are migrated as text fields with a note in the rebuild guide for manual type correction post-migration. Custom property naming follows GoHighLevel's field naming conventions with a gamooga_ prefix to indicate origin.
Gamooga
Automation Workflows
HighLevel
Workflow (documented for rebuild)
1:1Gamooga workflow definitions migrate as structured step sequences in a written inventory document. Channel-specific action steps (e.g., push template bindings, SMS sender bindings) migrate as configurable stubs referencing the intended action type. We do not migrate workflows as active GoHighLevel automations because the channel bindings are Gamooga-specific. The rebuild guide maps each Gamooga trigger type to a GoHighLevel Workflow trigger, with the customer's admin responsible for wiring the rebuilt automation.
Gamooga
Analytics Reports
HighLevel
Report (documented for rebuild)
1:1Gamooga pre-built analytics dashboards and real-time insights migrate as static data snapshots (CSV) if Gamooga's export capability supports them. The live-reporting pipeline does not transfer. We deliver a written report inventory listing every dashboard name, metric definition, and filter set, with recommended GoHighLevel reporting equivalents. GoHighLevel's reporting and pipeline analytics replace Gamooga's behavioral analytics on the CRM side.
Gamooga
Channels
HighLevel
Not Migrated
1:1Gamooga Channels (Push, SMS, Email, In-App, Web Push) are delivery infrastructure tied to Gamooga's own sending infrastructure and are not migratable. We migrate the audience (Contacts) and content intent (Campaign and event history) but not the channel configurations themselves. Post-migration, the customer configures GoHighLevel's integrated email (LC Email), SMS (via Twilio or GoHighLevel's built-in A2P 10DLC), and other channel integrations from scratch.
| Gamooga | HighLevel | Compatibility | |
|---|---|---|---|
| Users | Contact1:1 | Fully supported | |
| Campaigns | Opportunity1:1 | Mapping required | |
| Segments | Filter + Taglossy | Mapping required | |
| Events | Task (Activity)1:1 | Mapping required | |
| Custom Properties | Custom Fields1:1 | Mapping required | |
| Automation Workflows | Workflow (documented for rebuild)1:1 | Mapping required | |
| Analytics Reports | Report (documented for rebuild)1:1 | Mapping required | |
| Channels | Not Migrated1:1 | 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.
Gamooga gotchas
No public export API means migration is ingest-driven
Custom pricing model hides plan limits
Segment logic is not machine-migratable
Low review volume limits independent quality signal
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 coordination and discovery
We contact Gamooga's support or CSM team to request a full data export including Users, Campaigns, Segments, Events, Custom Properties, and any available analytics snapshots. If Gamooga can produce a structured export (CSV or JSON), we use it as the migration source. If not, we extract what is accessible from Gamooga's dashboard and document any gaps. We audit the extracted data for record counts, custom property schemas, segment rule complexity, event volume, and campaign count. This discovery output defines the migration scope and confirms feasibility before any billing occurs.
Schema design in GoHighLevel
We design the destination schema in GoHighLevel before any data moves. This includes creating custom fields on Contact for all Gamooga custom properties (with data type mapping), configuring an Opportunity pipeline with stages mapped to Gamooga campaign statuses, and creating any custom fields needed to store behavioral event metadata (event_type__c, event_timestamp__c, event_metadata__c). We configure GoHighLevel's SPF, DKIM, and DMARC for the customer's sending domain during this phase to begin email deliverability warm-up.
Segment rule extraction and rebuild guide
We parse every Gamooga Segment and extract its behavioral rules as human-readable criteria (e.g., 'Users with purchase_count >= 3 AND last_purchase_date within 90 days AND state = CA'). We cross-reference each rule's data source attributes against the extracted custom property set and flag any behavioral attributes that have no GoHighLevel field equivalent. The rebuild guide maps each Gamooga segment to recommended GoHighLevel filter configurations and tag groups. This document is delivered to the customer's admin team as the audience parity specification for post-migration rebuild.
Sandbox migration and reconciliation
We run a full migration into a GoHighLevel sandbox environment using production-like data volume. The customer reconciles record counts (Contacts in, Campaigns in, Events in) against the Gamooga source export, spot-checks 25-50 random contacts for field-level accuracy, and validates that behavioral custom fields have been populated correctly. Any mapping corrections happen in the sandbox phase before production migration begins.
Production migration in dependency order
We run production migration in record-dependency order: Contacts first (with all custom fields and behavioral attributes), then Opportunities (with campaign metadata and owner resolution via email match), then Tasks (event history with timestamps preserved and parent Contact resolved). Each phase emits a row-count reconciliation report. We freeze Gamooga writes during the final cutover window and run a delta migration of any records modified during the window before switching GoHighLevel to live.
Cutover, validation, and rebuild handoff
We enable GoHighLevel as the system of record and deliver the Segment rebuild guide, Workflow inventory document, and Report inventory document to the customer's admin team. We support a one-week hypercare window for reconciliation issues. We do not rebuild Gamooga workflows as GoHighLevel automations inside the migration scope; the rebuild guide serves as the specification for the customer's admin to complete post-migration. Channel integrations (email, SMS, push) are configured by the customer in GoHighLevel using our deliverability setup documentation.
Platform deep dives
Gamooga
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 Gamooga 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
Gamooga: Not publicly documented.
Data volume sensitivity
Gamooga 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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