CRM migration
Field-level mapping, validation, and rollback between Gamooga and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Gamooga
Source
Freshsales
Destination
Compatibility
6 of 8
objects map 1:1 between Gamooga and Freshsales.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Gamooga to Freshsales is a structural migration from an omni-channel engagement platform to a standard CRM. Gamooga organizes data around Users, Campaigns, Segments, and Events; Freshsales uses Contacts, Accounts, Deals, Leads, and Activities. The fundamental mismatch is that Gamooga is a behavioral marketing and customer engagement platform while Freshsales is a sales CRM, so we map behavioral user attributes and event history to CRM contact properties and activity records rather than attempting to replicate Gamooga's targeting engine. Gamooga has no publicly documented export API, so we request a full data export through Gamooga support or CSM before scoping, falling back to CSV extraction from any accessible dashboards. Dynamic Segments use behavioral rules that cannot be exported as portable configuration; we extract the rule logic as human-readable criteria and rebuild them as Freshsales filter views. Automation Workflows migrate as step-sequence documentation stubs for your admin to rebuild in Freshsales's workflow builder. Channels, Recommendations, and native analytics reports do not migrate and are documented for post-migration rebuild planning.
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 Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Gamooga
Users
Freshsales
Contact
1:1Gamooga Users (email, mobile number, behavioral attributes) map to Freshsales Contacts. The Gamooga user profile fields migrate as standard and custom Contact fields. Email serves as the unique identifier. We extract custom properties uploaded via Gamooga's Historic Data Push as custom fields in Freshsales, preserving data type where identifiable and flagging any ambiguous typed fields. If the customer uses Gamooga's account-level data model, those records map to Freshsales Accounts with the Contact-Account relationship established via domain matching.
Gamooga
Campaigns
Freshsales
Deal
1:1Gamooga Campaigns (lifecycle or promotional journeys across channels) map to Freshsales Deals. Campaign status (active, paused, completed) migrates as Deal stage; campaign targeting rules and channel configuration migrate as custom fields or deal notes rather than native Freshsales configuration. Channel-specific bindings (push template IDs, SMS sender IDs) do not migrate and are documented as configuration to rebuild in Freshsales workflow builder.
Gamooga
Segments
Freshsales
Contact Filter View
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 rule structure as human-readable criteria and document it as Freshsales filter view definitions that the customer's admin can recreate in Freshsales's Contact filter builder. Any behavioral data attributes present in Gamooga but absent from the Freshsales Contact schema are flagged as potential custom field additions.
Gamooga
Events
Freshsales
Activity (Task)
1:1Gamooga Events (page views, purchases, cart actions, custom behavioral records) used to trigger automations migrate as Freshsales Activity records (Tasks). Event type maps to Activity subject or a custom field; event timestamp maps to ActivityDate; event properties migrate as custom Task fields. Because Freshsales does not have a native behavioral event schema, we preserve the event data as structured activity records with a custom event_type__c field to maintain categorization.
Gamooga
Automation Workflows
Freshsales
Workflow Documentation
1:1Gamooga workflow definitions created in the graphical canvas are documented as step sequences with trigger conditions, branching logic, and action types. We do not migrate workflows as executable code because Gamooga's automation engine and Freshsales's workflow builder are architecturally different. We deliver a written inventory of every active Gamooga workflow with its trigger, conditions, actions, and recommended Freshsales workflow equivalent for the customer's admin to rebuild post-migration.
Gamooga
Custom Properties
Freshsales
Custom Contact Fields
lossyExtended user properties uploaded via Gamooga's Historic Data Push migrate as Freshsales custom contact fields. We pre-create the destination fields in Freshsales with matching data types (text, number, date, dropdown) before contact import. Ambiguously typed properties are flagged for the customer to clarify before field creation. The Freshsales admin creates these fields under Admin Settings > Contact Fields before migration data is loaded.
Gamooga
Analytics Reports
Freshsales
Freshsales Reports (static export)
1:1Pre-built Gamooga analytics dashboards and real-time insights export as static data snapshots. The underlying live-reporting pipeline is not transferable and must be reconstructed in Freshsales's reporting module post-migration. We deliver the export data in CSV format alongside a report reconstruction guide mapping Gamooga metrics to Freshsales equivalent report types.
Gamooga
Channels
Freshsales
Not Migrated
1:1Gamooga Channels (Push, SMS, Email, In-App, Web Push) are delivery infrastructure specific to Gamooga's platform and do not have equivalents in Freshsales. We do not migrate channel configurations. Any audience or contact list data within a channel migrates through the User-to-Contact mapping. Channel-level content and templates must be rebuilt in Freshsales or a separate marketing tool.
| Gamooga | Freshsales | Compatibility | |
|---|---|---|---|
| Users | Contact1:1 | Fully supported | |
| Campaigns | Deal1:1 | Mapping required | |
| Segments | Contact Filter Viewlossy | Mapping required | |
| Events | Activity (Task)1:1 | Mapping required | |
| Automation Workflows | Workflow Documentation1:1 | Mapping required | |
| Custom Properties | Custom Contact Fieldslossy | Mapping required | |
| Analytics Reports | Freshsales Reports (static export)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
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
Discovery and export coordination
We audit Gamooga's data model across Users, Campaigns, Segments, Events, custom properties, automation workflows, and channel usage. Because Gamooga has no public export API, we submit a data export request to Gamooga support or the customer's CSM during discovery. We confirm the export format (CSV, JSON, or database dump) and timeline. We also identify any data accessible through the Gamooga dashboard for manual extraction. The discovery output is a written migration scope, export timeline, and a list of Gamooga data objects that will and will not migrate.
Data extraction and deduplication
We process the Gamooga export into migration-ready record sets. This includes deduplicating Users by email address (resolving conflicts to the most recently modified record), normalizing event data into a structured activity schema compatible with Freshsales, extracting segment rule logic as human-readable criteria, and cleaning any malformed or incomplete records. Custom property fields are typed and flagged where data type is ambiguous. We produce a source data quality report and resolve any data gaps with the customer before proceeding.
Freshsales schema setup
We set up the Freshsales destination environment before data loads. This includes creating custom Contact fields to match Gamooga extended user properties, setting up Account records (from Gamooga account-level data if present), configuring Deal stages mapped from Gamooga campaign statuses, and preparing the Activity custom fields to hold event type and event properties. Freshsales admin creates these fields under Admin Settings before migration data is loaded. We do not configure Freshsales Locations custom fields because the module does not support them.
Test migration to Freshsales Sandbox
We run a full migration into a Freshsales test account using the extracted Gamooga data. We reconcile record counts (Users in, Contacts in; Campaigns in, Deals in; Events in, Activities in), spot-check a sample of records against the source data, and validate that email deduplication produced the expected contact count. Any mapping corrections, custom field mismatches, or data type issues are resolved in this phase before the production migration begins.
Production migration and activity history load
We run production migration in dependency order: Contacts (from Users), Accounts (from Gamooga account-level data), Deals (from Campaigns), and Activities (from Events). Each object emits a row-count reconciliation report. Email as the unique identifier is enforced. Duplicate contacts with matching emails are resolved to a single record using last-modified timestamps. Activity records are loaded after their parent Contact and Account records to satisfy Freshsales's foreign key constraints.
Cutover, validation, and automation handoff
We freeze Gamooga writes during cutover, run a final delta migration of any records modified during the migration window, then enable Freshsales as the system of record. We deliver the segment rule documentation (human-readable criteria for Freshsales filter rebuilding), the automation workflow inventory (step-sequence document for Freshsales workflow rebuild), and the analytics export data with a Freshsales report reconstruction guide. We support a post-migration validation window where the customer's team spot-checks record counts and data accuracy. We do not rebuild Gamooga workflows as Freshsales workflows inside the migration scope.
Platform deep dives
Gamooga
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 Freshsales.
Object compatibility
2 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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