CRM migration
Field-level mapping, validation, and rollback between Kartra and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Kartra
Source
Salesforce Sales Cloud
Destination
Compatibility
9 of 12
objects map 1:1 between Kartra and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
4-7 weeks
Overview
Migrating from Kartra to Salesforce Sales Cloud moves you from a marketing-first all-in-one platform into a dedicated CRM with far greater pipeline depth, custom object support, reporting flexibility, and an ecosystem of over 9,000 AppExchange listings. The structural difference is that Kartra exports data as UI-generated CSV files (there is no bulk API), while Salesforce receives data via REST and Bulk API 2.0 with typed fields, required lookups, and validation rules that can reject records on first import. We extract Kartra Contacts as a dated CSV, split the comma-separated tag strings into individual values, map custom fields to Salesforce typed fields, and load in dependency order: Accounts first (from Kartra company data), then Contacts with AccountId resolved, then Opportunities with stage mapping, then Transactions and Subscription history. We flag upfront that Kartra membership access, course enrollment, automation sequences, forms, and behavioral events (form completions, webinar registrations) do not export as data rows and therefore cannot migrate to Salesforce. We deliver a written inventory of these gaps and the Kartra data points that will be lost so the customer's admin can set accurate expectations with their team before go-live.
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 Salesforce Sales Cloud, 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)
Salesforce Sales Cloud
Contact
1:1Kartra Contacts map to Salesforce Contact as the primary record. Standard fields (FirstName, LastName, Email, Phone, MailingAddress) migrate directly. We export oldest-to-newest to preserve lead creation order using Kartra's createdate field. GDPR Status and GDPR Status Date from Kartra map to custom Salesforce fields for compliance audit. Note: Salesforce Contact requires either a LastName or CompanyName; Kartra records without a last name require a name-splitting transform during the extract phase.
Kartra
Company
Salesforce Sales Cloud
Account
1:1Kartra company data (if present on contact records or as a separate company export) maps to Salesforce Account. The Kartra company name becomes Account Name; the company domain becomes the Website field and serves as the dedupe key during import. Account is created before any Contact import so that the AccountId lookup is satisfied at the moment of Contact insert.
Kartra
Custom Fields
Salesforce Sales Cloud
Custom Fields
1:1Kartra supports five custom field types: input_field, text_area, drop_down, radio_button, checkbox. We read the Kartra field schema via the UI export to determine types, then create equivalent Salesforce custom fields before migration. Text areas map to Salesforce Long Text Area; drop-down and radio_button map to Picklist or Multi-Select Picklist depending on cardinality; checkboxes map to Checkbox. Input fields with no type spec are mapped as Text. All custom fields are created in the Salesforce Sandbox first and validated before production deployment.
Kartra
Tags
Salesforce Sales Cloud
Multi-Select Picklist on Contact
lossyKartra Tags are stored as comma-separated strings in the CSV export. We parse and split them into individual values and map them to a Salesforce multi-select picklist field on Contact (e.g., kartra_tags__c). If the customer has more than 500 distinct tags, we recommend mapping the top 100 by frequency to the multi-select picklist and documenting the remainder as a separate text field for manual cleanup. Tags applied retroactively (e.g., form completed tags) reflect the tag name only, not the event that triggered it.
Kartra
Lists
Salesforce Sales Cloud
Campaign or Public Group
lossyKartra Lists are exported as comma-separated membership values per contact. We split list memberships into individual Salesforce Campaign membership records (CampaignMember with Status = Responded) or Public Group membership depending on whether the list represents a marketing audience or an operational segment. The customer chooses the strategy during scoping.
Kartra
Transaction
Salesforce Sales Cloud
Opportunity (or Custom Object)
many:1Kartra Transaction records (amount, product, date, payment method) map to Salesforce Opportunity if the transaction represents a sales deal. The Kartra transaction amount becomes Opportunity Amount; the product name becomes Opportunity Name or a custom field; the transaction date becomes CloseDate. If the customer uses Kartra's product-catalog features alongside transactions, we map Product2 and OpportunityLineItem. Total spend is explicitly NOT exported by Kartra and therefore cannot migrate.
Kartra
Subscription
Salesforce Sales Cloud
Opportunity or Custom Subscription Object
1:1Kartra Subscription records (status, start date, associated product/membership, recurring amount) map to Salesforce Opportunity with custom fields capturing subscription-specific data. Kartra does not export subscription revenue run rate or MRR; we map what is present. Subscription status (active, cancelled, paused) migrates to a custom picklist field.
Kartra
Affiliates
Salesforce Sales Cloud
Account or Custom Affiliate Object
1:1Affiliate sign-up events tracked in Kartra's events system can be mapped to a Salesforce custom Account (for partner organizations) or a custom Affiliate__c object. Tag-based triggers used to track affiliate activity migrate as tag values on the corresponding Contact or Account record.
Kartra
Calendars (Appointments)
Salesforce Sales Cloud
Event
1:1Kartra Calendar booking records can be mapped to Salesforce Event. Historical appointment records require a separate export and are not included in the standard contact CSV. We map calendar name, booking date, and attendee email where present in the export. Note: Kartra does not export a complete calendar history by default.
Kartra
Memberships and Courses
Salesforce Sales Cloud
Not available
1:1Kartra does not export membership access or course enrollment data in any standard CSV export. This information is not available for migration. If the customer's Kartra account used tags to track membership access (e.g., 'member_gold', 'course_completed'), those tag values migrate to the Contact record as part of the tag mapping. The actual membership access configuration must be rebuilt in Salesforce or a complementary platform post-migration.
Kartra
Sequences
Salesforce Sales Cloud
Not available
1:1Kartra Sequences are multi-step email automation flows with conditional branching, delays, and action triggers. This workflow logic does not exist as a data file that can be exported. Only the contacts themselves move. We deliver a written inventory of every active Kartra Sequence with its trigger, steps, and conditions so the customer's admin can rebuild them in Salesforce Flow, Salesforce Sales Engagement (if licensed), or a third-party cadence tool post-migration.
Kartra
Forms and Surveys
Salesforce Sales Cloud
Not available
1:1Form definitions and survey questions are not exported via Kartra's standard CSV. Form completion and survey response data is absent from the export unless each completion triggered a tag. Form structure and logic must be rebuilt at the destination using Salesforce Web-to-Lead, Experience Cloud forms, or a third-party form tool. Completion counts and behavioral signals can be approximated via the tag inventory if tags were pre-configured for each form event.
| Kartra | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact (formerly Leads) | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Custom Fields | Custom Fields1:1 | Mapping required | |
| Tags | Multi-Select Picklist on Contactlossy | Mapping required | |
| Lists | Campaign or Public Grouplossy | Mapping required | |
| Transaction | Opportunity (or Custom Object)many:1 | Fully supported | |
| Subscription | Opportunity or Custom Subscription Object1:1 | Fully supported | |
| Affiliates | Account or Custom Affiliate Object1:1 | Mapping required | |
| Calendars (Appointments) | Event1:1 | Mapping required | |
| Memberships and Courses | Not available1:1 | Not supported | |
| Sequences | Not available1:1 | Fully supported | |
| Forms and Surveys | Not available1:1 | 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
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
Pre-migration profiling and CSV extraction trial
We audit the Kartra account to establish the full object inventory: contact count, transaction count, subscription count, custom field schema, tag taxonomy, list membership count, and affiliate data. We run a trial extraction of the contact CSV to validate field completeness and identify records without a last name or email address that require pre-flight transforms. We also probe for behavioral tags (form completion, webinar registration, membership access) to assess what engagement data is recoverable. The discovery output is a written migration scope, a data quality report, and a clear list of data that will not migrate.
Salesforce schema design and sandbox setup
We design the destination schema in Salesforce. This includes creating custom fields on Contact (mapped from Kartra custom fields), the multi-select picklist for tags, custom fields on Opportunity for transaction and subscription data, Record Types and Sales Processes for pipeline stages, and any custom objects required. Schema is deployed to a Salesforce Sandbox first for validation. We also coordinate with the customer's admin to grant the migration user the necessary permissions and to review or disable validation rules that could block import.
Sandbox migration and reconciliation
We run a full migration into a Salesforce Sandbox using production-like data volume from Kartra. The customer's RevOps lead reconciles record counts (Contacts in, Accounts in, Opportunities in), spot-checks 25-50 random records against the Kartra source data, and validates that tag values appear in the multi-select picklist correctly. Any field mapping corrections, custom field type adjustments, or validation rule conflicts are resolved in the Sandbox before production migration begins.
CSV extraction and transformation
We extract all Kartra data via the UI-based CSV export in dependency order: Contacts (with company data), Transactions, Subscriptions, and affiliate/calendar data if present. Tags are parsed from comma-separated strings into individual values. We apply pre-flight transforms: name splitting for records without a last name, email validation, deduplication against a fuzzy match on email, and GDPR status preservation. Large exports are chunked into sequential batches to respect Kartra's UI pagination limits.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Kartra company data), Contacts (with AccountId resolved), Opportunities (with stage mapping and Amount from transactions), Custom fields and tag values loaded last. Transactions and Subscriptions load as Opportunity records with custom subscription fields. Tags load into the multi-select picklist field on Contact after the base Contact record is confirmed. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation rebuild handoff
We freeze Kartra writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the Sequence and automation inventory document to the customer's admin team with a Salesforce Flow rebuild recommendation for each sequence. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild Kartra Sequences as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Kartra
Source
Strengths
Weaknesses
Salesforce Sales Cloud
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 Salesforce Sales Cloud.
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
Pick a category, then your source and destination platforms.
Category
FAQ
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