CRM migration
Field-level mapping, validation, and rollback between Gamooga and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Gamooga
Source
monday CRM
Destination
Compatibility
7 of 8
objects map 1:1 between Gamooga and monday CRM.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Migrating from Gamooga to Monday.com CRM is a cross-category move from a behavioral marketing automation platform to a board-based Work OS with a CRM layer. Gamooga organizes data around Users, Campaigns, Segments, and behavioral Events; Monday.com CRM uses People, Companies, and Deals against a board and column structure. We handle extraction through Gamooga's documented Historic Data Push endpoint and any available vendor export, resolve the object model difference at mapping time, and deliver a written segment-rebuild guide for Gamooga's dynamic behavioral rules because they cannot export as portable configuration. Workflows and automations migrate as a documented step sequence for manual rebuild in Monday.com's automation builder. Channel configurations and the recommendation engine do not migrate because they are Gamooga-native infrastructure with no Monday.com equivalent.
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 monday CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Gamooga
User
monday CRM
Person (CRM contact)
1:1Gamooga User profiles map to Monday.com CRM People. We extract standard profile fields (email, mobile number, name attributes) and map them to the equivalent Monday.com person fields. Custom extended properties uploaded via Gamooga's Historic Data Push migrate as Monday.com custom fields on the People entity, with data type preserved where identifiable and ambiguous typed fields flagged for manual review. Gamooga's user_id becomes a reference field retained in a custom column for reconciliation.
Gamooga
Campaign
monday CRM
Deal
1:1Gamooga Campaigns (lifecycle journeys and promotional sequences) map to Monday.com CRM Deals. We extract campaign name, status, associated user audience, and campaign start and end dates. The Deal's Name maps from campaign title, Deal Status maps from campaign state (active, paused, completed), and the original campaign audience size is preserved as a custom field for reporting. Channel-specific configuration (push template bindings, SMS sender IDs) cannot migrate and becomes a configuration note for the admin to set up in Monday.com integrations post-migration.
Gamooga
Segment
monday CRM
Board Group or Filter
lossyGamooga dynamic Segments use behavioral rules (demographics, location, purchase history, app behavior) evaluated in real time. These rule definitions cannot be exported as portable configuration. We extract the segment structure as human-readable criteria including field names, operators, and values, and deliver a segment-rebuild guide that maps each Gamooga rule to equivalent Monday.com column filters and group conditions. Any behavioral data attributes present in Gamooga but absent from the Monday.com schema are flagged with a schema gap note. The customer recreates segments manually in Monday.com using the guide.
Gamooga
Event
monday CRM
Activity (on Person or Deal)
1:1Gamooga behavioral Events (page views, purchases, cart actions, custom tracked actions) migrate as activity records attached to the corresponding Monday.com CRM Person. Event type becomes the activity name, event timestamp becomes the activity date, and any event properties (product ID, page URL, amount) migrate as structured text in the activity body or as custom fields on the person record. Because Monday.com does not have a native event stream, we normalize high-volume event types (for example, repeated page views) into summary activity entries rather than individual rows to avoid creating thousands of low-value records.
Gamooga
Custom Property
monday CRM
Custom Field
1:1Extended user properties uploaded via Gamooga's Historic Data Push endpoint migrate as Monday.com custom fields on the relevant entity (People or Deals). We preserve data type where Gamooga exposes it (string, number, date, boolean) and map to the closest Monday.com field type. Multi-value properties and array-typed fields map to Monday.com tag or multi-select fields. Fields with unrecognized or ambiguous types are flagged as text fields with a note for the admin to reclassify post-migration.
Gamooga
Automation Workflow
monday CRM
Automation (documented, not migrated as code)
1:1Gamooga workflow definitions created on the graphical canvas are documented as structured step sequences. We extract each workflow's trigger (event type, condition), action steps (message sent, segment updated, user tagged), and any delay or branching logic. This becomes a written automation inventory that the customer's admin uses to rebuild equivalent automations in Monday.com's automation builder. Channel-specific action steps (push template bindings, SMS sender IDs) are documented as integration configuration stubs. We do not migrate automations as executable code because Gamooga and Monday.com automation engines are architecturally incompatible.
Gamooga
Analytics Report
monday CRM
Dashboard (static reference)
1:1Pre-built Gamooga analytics dashboards and real-time insight reports can be exported as static data (CSV or screenshot). We migrate the data values and preserve the report names and date ranges as reference. The underlying live-reporting pipeline cannot be transferred. We deliver a written mapping of each Gamooga metric (open rate, conversion rate, segment size over time) to a recommended Monday.com dashboard column or chart type, and the admin reconstructs the visualization.
Gamooga
Channel
monday CRM
Not migratable
1:1Gamooga Channels (Push, SMS, Email, In-App, Web Push) are platform-native delivery infrastructure. Monday.com CRM has no sending infrastructure of its own and relies on third-party integrations for email and SMS. Channel configurations, sender IDs, template bindings, and delivery rules cannot migrate. We document the channel inventory as a reference so the admin knows which third-party integrations to configure post-migration (for example, a SendGrid or Mailchimp integration for email delivery).
| Gamooga | monday CRM | Compatibility | |
|---|---|---|---|
| User | Person (CRM contact)1:1 | Fully supported | |
| Campaign | Deal1:1 | Fully supported | |
| Segment | Board Group or Filterlossy | Fully supported | |
| Event | Activity (on Person or Deal)1:1 | Fully supported | |
| Custom Property | Custom Field1:1 | Fully supported | |
| Automation Workflow | Automation (documented, not migrated as code)1:1 | Fully supported | |
| Analytics Report | Dashboard (static reference)1:1 | Fully supported | |
| Channel | Not migratable1:1 | 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.
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
monday CRM gotchas
Subitems are not included in bulk exports
Daily API call limits vary sharply by plan
Legacy automations (Sentence Builder) are being deprecated
Excel and account exports only include table views
Enterprise admins can disable non-admin exports
Pair-specific challenges
Migration approach
Discovery and extraction assessment
We audit the Gamooga account to identify all active record types: user count, campaign count, segment definitions, event types and volumes, custom property schemas, and workflow count. We simultaneously assess extraction paths: requesting a full vendor export from Gamooga's support team and evaluating CSV extraction from any accessible dashboards. If the vendor export is delayed beyond two weeks, we proceed with dashboard-based extraction and document any gaps. We produce a written extraction plan and a preliminary object mapping document before any data movement begins.
Monday.com workspace and schema setup
We create the Monday.com CRM workspace and configure the core entities: People board (with standard fields mapped from Gamooga User properties), Companies board, and Deals board with a deal pipeline matching the customer's sales stages. We provision all Gamooga custom properties as Monday.com custom fields, maintaining data type fidelity and documenting any fields where type is ambiguous from the Gamooga source. If Monday.com CRM mode is not yet active on the destination account, we guide the customer through enabling it. Custom field dependencies are configured in Monday.com where dependency relationships are known from the source.
Data extraction and transformation
We process the extracted Gamooga data: cleaning and deduplicating User records (using email as the primary dedupe key), normalizing event data into activity summaries for high-volume event types, and transforming Campaign records into Deal format with status mapping. Segment definitions are extracted as structured criteria documents rather than executable configuration. We flag any Gamooga field that maps to a missing Monday.com field with a schema gap note. Owner or assignee data from Gamooga migrates as a text field on Monday.com Person records since Monday.com CRM does not have a standalone Owner object separate from User accounts.
Sandbox migration and validation
We perform a test migration into a Monday.com workspace using a representative data sample (minimum 100 records per entity type) to validate field mapping accuracy, custom field rendering, and deal pipeline configuration. The customer reviews the migrated sample and confirms that Person records, Company associations, Deal values, and activity entries appear correctly. Any mapping corrections are applied before the production migration. This step also surfaces whether any Gamooga channel configurations or integration stubs require additional documentation.
Production migration and reconciliation
We run the full production migration in entity order: People (from Gamooga Users), Companies, Deals (from Gamooga Campaigns), Activity records (from Gamooga Events), and custom field values. Each phase emits a row-count reconciliation report. We validate that the record counts match the extraction totals within a tolerance threshold for any records filtered during deduplication. Any records that fail validation are held in a review queue for the customer to resolve. Gamooga Channel configurations and workflow action stubs are documented as a separate configuration reference document for the admin.
Segment rebuild handoff and go-live
We deliver the written segment-rebuild guide with every Gamooga segment deconstructed into Monday.com filter equivalents. We deliver the automation inventory documenting each Gamooga workflow as a step sequence with recommended Monday.com automation builder equivalents. We deliver the channel integration reference listing which third-party sending tools the admin should connect post-migration. We support a three-day hypercare window for data reconciliation issues. We do not rebuild automations or configure integrations as part of the migration scope.
Platform deep dives
Gamooga
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Gamooga and monday CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Gamooga and monday CRM.
Object compatibility
All 8 core objects map 1:1 between Gamooga and monday CRM.
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
Pick a category, then your source and destination platforms.
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