CRM migration
Field-level mapping, validation, and rollback between Kartra and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Kartra
Source
Freshsales
Destination
Compatibility
6 of 9
objects map 1:1 between Kartra and Freshsales.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Kartra to Freshsales is a migration from an all-in-one marketing automation platform to a purpose-built CRM. Kartra holds contacts, tags, and transaction history in a flat contact-centric model with no true pipeline object; Freshsales separates Leads, Contacts, Accounts, and Deals into a relational schema that requires field mapping decisions upfront. We extract Kartra data via UI-based CSV export (there is no bulk API), parse and deduplicate the contact list, map Tags to Freshsales Tags, and load Custom Fields against Freshsales field types verified during scoping. Transactions migrate as Freshsales Deals with product and amount fields. Sequences, automations, and membership access records do not export from Kartra; we document these gaps before migration begins so the customer's team can plan the rebuild at Freshsales.
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 Kartra 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.
Kartra
Contact (formerly Leads)
Freshsales
Lead and Contact (split required)
1:manyKartra Contacts map to Freshsales Leads by default. If the Kartra contact has an associated company name, we recommend converting to Freshsales Contact via the Lead-to-Contact conversion workflow, which creates an Account record from the company name and a Deal if a transaction amount is present. We preserve the Kartra contact creation date as a custom field at Freshsales for historical ordering. Tag-based behavioral data (if present from Kartra) maps to Freshsales Tags on the Contact record after conversion.
Kartra
Company
Freshsales
Account
1:1Kartra contacts with a populated Company field map to Freshsales Account. The Kartra company name becomes the Account Name; the domain or website URL maps to the Account Website field. If Kartra does not have a standalone Companies object (contacts are the primary record), we extract unique company names from the Contact Company field and create Account records before Contact migration. Account is created before Contact import so that AccountId Lookup is satisfied at insert time.
Kartra
Transaction
Freshsales
Deal
1:1Kartra Transactions export as a separate CSV from the contacts export. We map transaction fields (amount, product name, purchase date, payment method) to Freshsales Deal fields (Deal Name, Amount, Closed Date, Stage). If the Kartra transaction references a contact email, we look up the corresponding Freshsales Contact record and attach the Deal to it. If a subscription exists, the subscription status (active, cancelled, paused) maps to a custom Deal field or Deal status note. Note: Total spend over lifetime is explicitly NOT included in Kartra's transaction export and cannot be reconstructed; we document this gap for the customer.
Kartra
Subscription
Freshsales
Deal or Product
lossyKartra Subscription records export separately from contacts. We map subscription status (active, cancelled, paused), start date, and associated product or membership name to Freshsales Deal fields or custom Product records. Active subscriptions can be modeled as recurring Deal records with the subscription interval (monthly, annual) preserved. Revenue amounts map to Deal Amount if the subscription has a known value.
Kartra
Tag
Freshsales
Tag
1:1Kartra tags are stored as comma-separated strings in the CSV export. We parse and split them into individual Freshsales Tag records. Tags applied retroactively (for example, a tag set as an automation action on a past behavior) are preserved as static tag values on the migrated Contact. We recommend the customer review tag taxonomy during scoping to identify behavioral tags (form completed, webinar registered) that will become static tags at Freshsales.
Kartra
List
Freshsales
List or Segment
lossyKartra Lists are exported as comma-separated membership values per contact. We split list memberships into individual Freshsales List or Segment records depending on the destination Freshsales plan tier. If Freshsales List functionality is not available on the customer's plan tier, we map list memberships to a multi-select picklist custom field on the Contact record.
Kartra
Custom Field (input_field, text_area, drop_down, radio_button, checkbox)
Freshsales
Custom Field (text, textarea, picklist, radio, checkbox)
1:1Kartra supports five field types: input_field, text_area, drop_down, radio_button, checkbox. All custom fields appear in the CSV export. We read the Kartra field schema via the Kartra UI to determine types and map them to the equivalent Freshsales field type before import. Drop-down and radio-button fields from Kartra become Freshsales picklist or radio button fields; checkbox becomes a checkbox field. We recommend creating all custom fields in Freshsales before migration begins using the exact field labels from Kartra for admin clarity.
Kartra
GDPR Status
Freshsales
HasOptedOutOfEmail or custom consent field
1:1The Kartra CSV export includes GDPR Status and GDPR Status Date fields per contact. These map to Freshsales HasOptedOutOfEmail (boolean consent flag) or a custom GDPR consent field depending on the customer's jurisdiction requirements. We preserve the original Kartra GDPR status value during migration but recommend the customer verify consent records against their actual legal obligations in the destination jurisdiction, as Freshsales may interpret consent states differently.
Kartra
Owner (assigned user)
Freshsales
User
1:1Kartra owner assignment on contacts and transactions maps to Freshsales User records by email address. We extract the distinct owner email addresses from the Kartra export and match them against Freshsales Users. Any Kartra owner without a matching Freshsales User goes to a reconciliation queue for the customer's admin to provision before the migration phase begins. OwnerId is required on Freshsales Contact and Deal records.
| Kartra | Freshsales | Compatibility | |
|---|---|---|---|
| Contact (formerly Leads) | Lead and Contact (split required)1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Transaction | Deal1:1 | Fully supported | |
| Subscription | Deal or Productlossy | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| List | List or Segmentlossy | Fully supported | |
| Custom Field (input_field, text_area, drop_down, radio_button, checkbox) | Custom Field (text, textarea, picklist, radio, checkbox)1:1 | Fully supported | |
| GDPR Status | HasOptedOutOfEmail or custom consent field1:1 | Fully supported | |
| Owner (assigned user) | User1:1 | 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.
Kartra gotchas
Behavioral history is absent from Kartra exports unless tags were pre-set up
Contact-based pricing requires pre-migration record audit
No bulk or programmatic API for extraction
Sequences, automation logic, and workflows cannot be exported
GDPR status fields export but require manual review at destination
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 data audit
We audit the source Kartra account across contacts (including bounced and inactive records), tags, custom fields, transaction history, and subscription records. We document the Kartra field schema for every custom field type to map correctly to Freshsales field types during import. We probe for behavioral tags (form completed, webinar registered, membership access) and flag any gap in engagement history. The discovery output is a written migration scope including the record count, tag taxonomy, custom field list, and a list of known data gaps that will not migrate.
Freshsales account provisioning and field schema creation
We work with the customer to provision the Freshsales account and configure the field schema before any data import. This includes creating all custom fields with types matched to the Kartra schema, setting up Freshsales Tags to receive Kartra tag values, defining the Deal pipeline stages to receive Kartra transaction data, and configuring the Lead-to-Contact field mapping for every custom field so data is not lost during conversion. We recommend creating fields in Freshsales first and verifying the field API names match the mapping plan.
CSV extraction and data cleansing
We extract Kartra contacts, transactions, and subscriptions via the UI-based CSV export in structured batches. We parse the CSV, split comma-separated tags and list memberships into individual values, deduplicate records by email address, and flag bounced or inactive contacts for the customer's decision on whether to include them in the migration. We validate field completeness against the Kartra schema and surface any records with missing critical fields (no email, no name) for the customer's review before import.
Owner and user reconciliation
We extract every distinct owner email address from the Kartra export and match against the Freshsales User table. Any Kartra owner without a matching Freshsales User goes to a reconciliation queue for the customer's admin to provision. OwnerId is required on Freshsales Contact and Deal records, so migration cannot proceed past this step until all active owner references have a valid Freshsales User. We recommend provisioning Users before migration begins to avoid delays during the import phase.
Test migration and reconciliation
We run a test migration into a Freshsales sandbox or the production account using a representative sample of records. The customer reconciles record counts (Contacts imported, Deals created, Tags populated, custom fields visible), spot-checks ten to twenty random records against the Kartra source for field-level accuracy, and confirms the Lead-to-Contact field mapping behaves correctly during conversion. Any mapping corrections happen here before the production migration phase begins.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from unique Kartra company names), Contacts (with OwnerId resolved, Tags applied, GDPR status mapped), Leads (if the customer chooses to route unqualified contacts through the Freshsales Lead object), Deals (from Kartra transactions with Amount, Stage, and Closed Date populated). Each phase emits a row-count reconciliation report. After all standard records are migrated, we deliver the written inventory of Kartra Sequences, automations, and workflows that require rebuild at Freshsales.
Platform deep dives
Kartra
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 Kartra 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
Kartra: Hardcoded ceiling of 20 inbound API calls per second per Kartra App..
Data volume sensitivity
Kartra 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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FAQ
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