CRM migration
Field-level mapping, validation, and rollback between Gamooga and Nutshell. We move data and schema; workflows are rebuilt natively in Nutshell.
Gamooga
Source
Nutshell
Destination
Compatibility
4 of 8
objects map 1:1 between Gamooga and Nutshell.
Complexity
BStandard
Timeline
1-3 weeks
Overview
Moving from Gamooga to Nutshell is a platform-type transition from a behavioral marketing automation system to a structured sales CRM. Gamooga organizes data around User profiles, Campaigns, Segments, Events, and Channels, while Nutshell uses People, Companies, Accounts, Leads, and Deals. There is no public REST API for exporting Gamooga data; we coordinate a manual export with Gamooga's support or CSM team before scoping, then map User records to Nutshell People and Companies, behavioral Events to Nutshell Activities, and Campaign history to Deals or custom fields. Gamooga's dynamic Segments, which use real-time behavioral rule evaluation, cannot be exported as configuration; we extract the rule logic as human-readable criteria and deliver a written segment-rebuild guide for your Nutshell admin. Workflows, Channel configurations, and the recommendation engine do not migrate and require rebuild or replacement in Nutshell or a complementary tool.
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 Nutshell, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Gamooga
User
Nutshell
Person
1:1Gamooga User records map directly to Nutshell Person. We extract all standard profile fields (name, email, phone, address) and any extended user properties uploaded via Gamooga's Historic Data Push as custom fields on the Nutshell Person. Gamooga user behavioral attributes (purchase history flags, lifecycle stage indicators) migrate as custom fields, with their data type preserved where identifiable and ambiguous typed fields flagged for customer resolution.
Gamooga
User
Nutshell
Company
1:1Gamooga Users that belong to an organizational entity map to a Nutshell Company record, with the Person linked via a Company relationship. If Gamooga exposes company-level data (company name, domain, industry) on the User record, we extract it as a separate Company upsert before the Person import to satisfy the Account lookup at insert time.
Gamooga
Campaign
Nutshell
Deal
1:manyGamooga Campaigns represent lifecycle or promotional journeys and do not have a direct Nutshell equivalent. We translate campaign history into Nutshell Deals, with the Gamooga campaign name as the Deal name and campaign status (active, completed, paused) stored in a custom Deal field. If a single Gamooga campaign generated multiple user interactions, we create separate Deal records or consolidate into one Deal with activity-linked notes depending on the customer's scoping preference.
Gamooga
Segment
Nutshell
Custom Fields + Filter Criteria
lossyGamooga dynamic Segments use behavioral rules (demographics, location, purchase history, app behavior) evaluated in real time. These rule definitions cannot be exported as machine-readable configuration. We extract each segment's rule structure as human-readable filter criteria and deliver a written segment-rebuild guide for the Nutshell admin, noting which Gamooga behavioral attributes are present in the export and which Nutshell fields or custom fields they should target for equivalent filtering.
Gamooga
Event
Nutshell
Activity
1:1Gamooga Events (page views, purchases, cart actions, custom behavioral records) map to Nutshell Activities. Each event type becomes an Activity with the event name, timestamp, and any associated metadata stored in custom Activity fields or as Activity notes. We preserve event ordering by setting the Activity date to the original Gamooga event timestamp, allowing the sales team to review behavioral history chronologically in Nutshell's Activity timeline.
Gamooga
Custom Properties
Nutshell
Custom Fields
1:1Extended user properties uploaded via Gamooga's Historic Data Push migrate as Nutshell custom fields on Person. We map each Gamooga custom property to a new Nutshell custom field of equivalent type (text, number, date, currency per Nutshell's custom field types). Field naming follows Nutshell convention, and any Gamooga property with an unresolvable type is flagged for the customer to assign the correct Nutshell type during validation.
Gamooga
Analytics Reports
Nutshell
Custom Reports
lossyGamooga pre-built analytics dashboards and real-time insights can be exported as static data snapshots. We export the report metadata and data as CSV and attach it to the Nutshell account as a reference document. The underlying live-reporting pipeline does not transfer; we document which Gamooga metrics (open rates, click rates, segment sizes, conversion rates) were tracked so the customer can configure equivalent reports in Nutshell's reporting module.
Gamooga
Automation Workflows
Nutshell
Written Inventory
lossyGamooga workflow definitions created on the graphical canvas migrate as a structured step-sequence inventory. We document each workflow's trigger (event-based, date-based, or manual), conditions, and actions in a handoff document for the customer's admin to rebuild in Nutshell's sales automation rules or as a separate automation tool. Channel-specific action steps (push template bindings, SMS sender IDs) are documented as configuration stubs requiring replacement in the destination.
| Gamooga | Nutshell | Compatibility | |
|---|---|---|---|
| User | Person1:1 | Fully supported | |
| User | Company1:1 | Fully supported | |
| Campaign | Deal1:many | Fully supported | |
| Segment | Custom Fields + Filter Criterialossy | Fully supported | |
| Event | Activity1:1 | Fully supported | |
| Custom Properties | Custom Fields1:1 | Mapping required | |
| Analytics Reports | Custom Reportslossy | Mapping required | |
| Automation Workflows | Written Inventorylossy | Mapping required |
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
Nutshell gotchas
Contact tier limits enforced on import
No bulk API endpoint requires paginated extraction
Email sequences not exportable via API
Foundation plan disables key sales features
Pair-specific challenges
Migration approach
Discovery and export coordination
We audit the Gamooga account scope: User count, campaign count, segment definitions, event types, custom property schemas, and any available dashboard exports. We simultaneously request a full data export from Gamooga's support or CSM team, providing a structured export specification that includes all User fields, event history, campaign definitions, and custom property data. If Gamooga cannot produce the export within the project's initial two-week window, we pivot to dashboard-based CSV extraction and document any data that cannot be captured. The discovery output is a written migration scope with record counts, a list of custom properties, and the confirmed export format.
Schema design in Nutshell
We design the Nutshell destination schema based on the Gamooga export structure. This includes creating custom fields on Person for Gamooga user properties, creating custom fields on Deal for campaign metadata, designing the segment-rebuild guide format, and planning the Activity logging structure for event history. If Nutshell's plan tier limits the number of custom fields (Enterprise includes unlimited custom fields; lower tiers have caps), we confirm the plan with the customer before designing the schema. Custom fields are deployed into the Nutshell account before any data import begins.
Data extraction and transformation
We receive the Gamooga export (JSON, CSV, or manual dashboard extract) and run a transformation pass to map the data to Nutshell's object model. User records are split into Person and Company where organizational data is present. Campaign history is translated into Deal records with custom fields for campaign metadata. Events are mapped to Activities with event type, timestamp, and metadata preserved. Segment rule logic is extracted as human-readable criteria for the rebuild guide. Any ambiguous or missing fields are flagged in a transformation log for customer resolution before import.
Sandbox validation and mapping sign-off
We import a sample of records (typically 100-200 Person records, 20-50 Deals, and 200-500 Activities) into the Nutshell account using the JSON-RPC API. The customer reviews the imported records against the Gamooga source data, confirms custom field mapping accuracy, and validates the segment-rebuild guide format. Any mapping corrections are made to the transformation scripts before production migration begins. This step also confirms that the Nutshell plan's custom field limits are sufficient for the customer's property count.
Production migration and activity history
We run production migration in dependency order: Companies (if present), People, Deals (from campaign history), and Activities (from event history). Each phase emits a row-count reconciliation report comparing source record count to destination record count, with a mismatch threshold of under 1% before sign-off. Activities are written via the Nutshell API with rev tracking and retry on concurrency errors. Custom fields are populated during the relevant record insert phase. Any records rejected during import are logged with error codes and fed back to the transformation layer for correction.
Cutover, validation, and automation handoff
We freeze Gamooga writes during cutover, run a final delta migration of any records modified during the migration window, and enable Nutshell as the system of record. We deliver the segment-rebuild guide, the automation workflow inventory, and the channel configuration documentation to the customer's admin team. We do not rebuild Gamooga workflows or automations in Nutshell as part of the migration scope; that work is separate. We provide a one-week hypercare window to resolve any reconciliation issues raised by the customer's team after cutover.
Platform deep dives
Gamooga
Source
Strengths
Weaknesses
Nutshell
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 Nutshell.
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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