CRM migration
Field-level mapping, validation, and rollback between Kinabase and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Kinabase
Source
Freshsales
Destination
Compatibility
8 of 10
objects map 1:1 between Kinabase and Freshsales.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Kinabase uses a flat Collection-and-Record data model where every entity type is a user-defined Collection with typed Fields, including computed formulas and cross-collection linked references. Freshsales uses a conventional relational CRM schema with Contacts, Accounts (Companies), Leads, Deals, and Activities as standard objects, plus custom objects on Growth and above. These structural differences make migration a schema-design problem first and a data-load problem second. We audit every Collection, map each to the closest Freshsales standard or custom object, resolve cross-collection linked fields through lookup creation or ID denormalisation, and evaluate computed Fields to their static values at migration time. The 100 req/min Kinabase API rate limit and the requirement to obtain API credentials via [email protected] add lead-time to scoping that we account for during discovery. Workflows, automations, and saved Views are documented but not migrated as code.
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 Kinabase 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.
Kinabase
Clients Collection (or equivalent primary entity)
Freshsales
Contact
1:1Kinabase Collections that hold individual people (Contacts, Customers, People) map to Freshsales Contact. The Collection's Fields map to Freshsales standard fields (first_name, last_name, email, phone, address) with any additional Fields created as Freshsales custom fields. Email uniqueness is enforced in Freshsales; we deduplicate by email before import and flag duplicate records for customer resolution.
Kinabase
Organisations Collection (or equivalent company entity)
Freshsales
Account
1:1Kinabase Collections holding companies or organisations map to Freshsales Account. The Account Name becomes the primary key field. Website, industry, and address Fields map to Freshsales standard fields. We create the Account before importing any related Contacts so that AccountId lookups are satisfied at import time.
Kinabase
Projects or Orders Collection
Freshsales
Deal
1:1Kinabase Collections representing transactional or project records map to Freshsales Deal. The deal name, amount, and stage map to Freshsales Deal fields. Stage values from Kinabase custom Fields map to Freshsales Deal stage dropdown. If the Collection has a monetary Field, we map it to Freshsales Deal amount fields.
Kinabase
Any non-standard Collection
Freshsales
Custom Object
1:1Kinabase Collections that have no direct Freshsales standard object equivalent (Projects, Subscriptions, Properties, Vehicles, Cases) map to Freshsales custom objects on Growth and above tiers. We pre-create the Freshsales custom object schema, including all custom Fields and any lookup relationships to Contacts, Accounts, or Deals, before data import begins.
Kinabase
Linked Collection Field
Freshsales
Lookup Field or Denormalised Text
1:1Kinabase linked collection Fields create cross-record references across Collections. In Freshsales, these map to lookup Fields on custom objects if the Freshsales edition supports custom object relationships. For standard objects or lower tiers, we denormalise the referenced record's ID or name as a text field and flag this for the customer's admin to validate relationship semantics post-migration.
Kinabase
Activities (emails, calls, meetings)
Freshsales
Tasks, Calls, Meetings
1:1Kinabase Activities attached to Records map to Freshsales Tasks, Calls, and Meetings based on activity type. Call duration and disposition map to Freshsales Call custom fields. Meeting details (subject, start time, end time) map to Freshsales Meeting. We preserve activity timestamps and owner assignments by resolving Kinabase Owner references against Freshsales Users.
Kinabase
Tasks Collection
Freshsales
Task
1:1Kinabase standalone Tasks map to Freshsales Task with Status, Priority, due_date, and assigned owner preserved. Tasks linked to specific Records carry the parent record's lookup reference (Contact, Account, or Deal) in the WhatId field. Open and completed status maps directly to Freshsales task status values.
Kinabase
Computed Fields
Freshsales
Static Custom Field Value
lossyKinabase Computed Fields derive their value from a formula expression. Since Freshsales does not support computed Field formulas, we evaluate the formula expression at migration time and write the resulting value as a static custom field. The formula logic is not preserved; only the computed result transfers. We flag every computed Field in the pre-migration audit for customer review.
Kinabase
Document References
Freshsales
Attachment or Link Field
1:1Kinabase document attachments store a reference URL or filename. We export the reference metadata and map it to Freshsales as a text URL field on the parent record or as a note with a link. Actual file content transfer depends on whether the destination Freshsales plan supports file attachments and whether the source file host allows cross-platform access.
Kinabase
Stages and Status Fields
Freshsales
Picklist Values
lossyKinabase stage and status values (Draft, Active, Approved, Closed) stored as Fields on Collections map to Freshsales picklist or dropdown Fields on the target object. We create the picklist values in Freshsales before migration so that imported records do not fail on a restricted picklist validation error.
| Kinabase | Freshsales | Compatibility | |
|---|---|---|---|
| Clients Collection (or equivalent primary entity) | Contact1:1 | Fully supported | |
| Organisations Collection (or equivalent company entity) | Account1:1 | Fully supported | |
| Projects or Orders Collection | Deal1:1 | Fully supported | |
| Any non-standard Collection | Custom Object1:1 | Fully supported | |
| Linked Collection Field | Lookup Field or Denormalised Text1:1 | Fully supported | |
| Activities (emails, calls, meetings) | Tasks, Calls, Meetings1:1 | Fully supported | |
| Tasks Collection | Task1:1 | Fully supported | |
| Computed Fields | Static Custom Field Valuelossy | Mapping required | |
| Document References | Attachment or Link Field1:1 | Fully supported | |
| Stages and Status Fields | Picklist Valueslossy | 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.
Kinabase gotchas
API access gated behind a support request
100 req/min rate limit slows large exports
Computed Field values are not stored data
Linked collection fields require relationship re-establishment
Only administrators can export all data
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 admin access confirmation
We audit every Kinabase Collection and Field via the admin CSV export panel, capturing schema definitions, data types, linked Collection references, and computed Field formulas. We confirm API credential procurement from [email protected] and validate admin export permissions. We extract record counts per Collection, identify the primary entity Collections (people, organisations, deals), and flag any Fields that are required in Freshsales but missing in Kinabase. The discovery output is a written migration scope with a mapping matrix, data quality report, and Freshsales edition recommendation based on custom object and relationship requirements.
Freshsales schema provisioning
We create the Freshsales schema before any data loads. This includes provisioning custom objects for non-standard Kinabase Collections (Growth and above required for custom object creation), creating custom fields to cover any Kinabase Fields with no Freshsales standard equivalent, adding picklist values to match Kinabase stage and status Fields, and creating lookup relationships between custom objects where the Freshsales edition supports them. Schema is validated in a Freshsales sandbox or trial account before production load begins.
Data export with rate-limit management
We export Kinabase data via the admin CSV panel or API (100 req/min rate limit). For large Collections, we implement backoff-aware pagination to avoid hitting the limit, pre-scoping export volumes to estimate duration. We export linked Collections in dependency order so that parent record identifiers are available for child record imports. Computed Fields are evaluated at export time and written as static values. We flag any computed Field that cannot be evaluated due to missing source Fields in the record.
Data cleansing and deduplication
We run a data quality pass on the exported data. This includes email deduplication (uniqueness enforcement in Freshsales), missing required field resolution (flagging Contacts without email for manual resolution or exclusion), date format normalisation to ISO 8601, phone number standardisation, and removal of records with no meaningful data. We deliver a data quality report to the customer and apply agreed deduplication rules before the Freshsales load begins.
Production load in dependency order
We load data into Freshsales in record-dependency order: Accounts first (from Kinabase organisation Collections), then Contacts with AccountId resolved, then Deals with AccountId and Contact references resolved, then custom objects with their lookup relationships satisfied, then Activities (Tasks, Calls, Meetings) with parent record lookups. Each phase emits a row-count reconciliation report before the next phase begins. We use Freshsales REST API batched POST requests with exponential backoff and chunking to handle large record sets.
Validation, delta sync, and automation handoff
We validate record counts in Freshsales against the source export, spot-checking a random sample of 25-50 records field by field. We run a final delta migration for any records modified in Kinabase during the migration window, then deliver the automation and workflow inventory document to the customer's Freshsales admin for rebuild. We offer a one-week post-migration hypercare window for reconciliation issues. Workflow rebuild, automation setup, and Freshsales onboarding training are outside standard migration scope and are separate engagements.
Platform deep dives
Kinabase
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Kinabase and Freshsales.
Object compatibility
3 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
Kinabase: 100 requests per minute.
Data volume sensitivity
Kinabase 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.
Category
FAQ
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