CRM migration
Field-level mapping, validation, and rollback between KulaHub and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
KulaHub
Source
monday CRM
Destination
Compatibility
4 of 8
objects map 1:1 between KulaHub and monday CRM.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from KulaHub to Monday.com CRM is a structural migration, not a record copy. KulaHub stores all business entities as Contacts with no separate Account or Company object; Monday.com CRM splits People (individual contacts) and Companies (organization records) with a dedicated relationship between them. We collapse any organization-level data found in KulaHub contact records into Monday.com Company entities during the transform phase. Activity history (calls, emails, system events) migrates as timeline entries attached to the corresponding People or Company record. KulaHub has no public API documentation, no self-service bulk export, and unpublished rate limits, which means we coordinate data extraction with KulaHub support and validate throughput during discovery before committing to a migration timeline. Workflows, email campaigns, sequences, and automations do not migrate as code; we deliver a written inventory of existing automation logic for your admin to rebuild in Monday.com using its board-based recipe system.
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 KulaHub object lands in monday CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
KulaHub
Contact
monday CRM
People + Company
1:manyKulaHub stores all entities as Contacts including organization records. We parse the contact name, email domain, and any company-name fields to split KulaHub Contacts into Monday.com People (individual records) and Companies (organization records). Organization-level fields from KulaHub (if any exist in custom fields) map to Monday.com Company columns. The relationship is created by linking each Person to its parent Company using the Monday.com Company integration. This split is designed during scoping and validated against a sample export before the production run.
KulaHub
Activity (calls, emails, system events)
monday CRM
Activity timeline entries
1:1KulaHub activity logs including telephone calls, emails, and system events attach to contact records as a chronological time-series. We export activities as date-ordered records and load them into Monday.com's Activity section on the corresponding People or Company item. Activity type (call, email, meeting) maps to Monday.com's activity type field, with notes and timestamps preserved as-is. System events (record created, record updated) migrate as internal notes or are excluded based on customer preference during scoping.
KulaHub
Email Campaign history
monday CRM
Activity log (limited)
lossyKulaHub stores campaign records, templates, and tracking data (opens, clicks, unsubscribes). Monday.com CRM does not have a native email campaign management module; email activities attach to People items but campaign-level reporting does not transfer intact. We export the campaign history including GDPR unsubscribe states as a linked table and present it to the customer for manual reference or rebuild in a dedicated email marketing tool post-migration. GDPR unsubscribe flags are written to a custom field on each affected Person record.
KulaHub
Document/Attachment
monday CRM
Files (on People or Company items)
1:1KulaHub documents attached to contacts link via a foreign-key relationship. We extract each document blob and re-associate it with the corresponding Monday.com People or Company item as a file attachment. File names and original upload timestamps are preserved. Documents without a clear parent contact are held in a staging table and presented to the customer for manual mapping before production load.
KulaHub
Task/Reminder
monday CRM
Tasks (on People or Company items)
1:1KulaHub tasks are assigned to specific users and linked to contacts. We map tasks 1:1 to Monday.com Tasks attached to the corresponding People or Company item, preserving the task description, due date, and assignment. Owner mapping resolves by matching KulaHub user email against the Monday.com workspace member list. Tasks without a matching user are assigned to the migration owner for the customer admin to reassign post-migration.
KulaHub
User
monday CRM
Workspace Member
1:1KulaHub users appear in activity logs and task assignments. We export the full user list first and map each KulaHub user to a Monday.com workspace member by email. Active and inactive status is preserved. Monday.com workspace seats are provisioned by the customer before migration; we validate seat count against user record count during discovery.
KulaHub
Form submission data
monday CRM
Custom columns on People board
lossyKulaHub captures website enquiries via forms linked to contacts, but the form-field schema is not publicly documented. We request a sample export of form-submission data during discovery to identify field names and data types. Each distinct form field becomes a custom column on the Monday.com People board, with the form submission source recorded as a column value. Fields without a Monday.com equivalent are held in a staging table for manual review.
KulaHub
GDPR preference data
monday CRM
Custom field (HasOptedOutOfEmail equivalent)
lossyKulaHub stores email unsubscribe states and GDPR preference flags per contact but the persistence format is undocumented. We export preference flags as custom fields on each Monday.com People record. Email opt-out states map to a Boolean custom field that the customer's admin configures as a filter in any email integration. This ensures existing suppression lists are respected by any connected marketing tool.
| KulaHub | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | People + Company1:many | Fully supported | |
| Activity (calls, emails, system events) | Activity timeline entries1:1 | Fully supported | |
| Email Campaign history | Activity log (limited)lossy | Fully supported | |
| Document/Attachment | Files (on People or Company items)1:1 | Fully supported | |
| Task/Reminder | Tasks (on People or Company items)1:1 | Fully supported | |
| User | Workspace Member1:1 | Fully supported | |
| Form submission data | Custom columns on People boardlossy | Fully supported | |
| GDPR preference data | Custom field (HasOptedOutOfEmail equivalent)lossy | 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.
KulaHub gotchas
API has no public documentation or developer portal
No self-service bulk export or documented rate limits
Deleted record restoration costs £80/hour with 30-day window
Contact form field schema is not publicly documented
GDPR preference data portability not confirmed
monday CRM gotchas
Subitems are not included in bulk exports
Daily API call limits vary sharply by plan
Legacy automations (Sentence Builder) are being deprecated
Excel and account exports only include table views
Enterprise admins can disable non-admin exports
Pair-specific challenges
Migration approach
Discovery and data extraction scoping
We audit KulaHub across all accessible record types (Contacts, Activities, Documents, Tasks, Users, Reports) and confirm extraction scope with the customer. Because KulaHub has no self-service bulk export, we coordinate with KulaHub support to obtain data extracts. We probe the REST API with a small request batch to measure response behavior and estimate throughput for large record sets. We also request a sample form-submission export to map form fields to Monday.com custom columns. The discovery output is a written extraction plan, a field mapping draft, and a confirmed migration start date.
Monday.com CRM workspace and board design
We work with the customer to design the Monday.com CRM board structure: the People board (with required and custom columns mapped from KulaHub fields), the Companies board (populated from the KulaHub Contact split), and any pipeline boards for deal tracking. We configure custom columns for GDPR preference data and form submission fields identified during discovery. Board design is validated by the customer before schema is locked. Workspace members are provisioned to match the KulaHub user list.
Contact-to-People-and-Company transform
We split KulaHub Contacts into Monday.com People and Companies. The split logic uses email domain analysis and any explicit organization-name fields. Individual contacts with no organizational affiliation become People only. Organization-level fields found in KulaHub contact records are mapped to Company columns. Each Person is linked to its parent Company using Monday.com's integration. This phase produces two import datasets (People and Companies) that are reconciled against the total KulaHub contact count before loading.
Document and attachment migration
We extract document blobs attached to KulaHub contacts and re-associate them with the corresponding Monday.com People or Company items as file attachments. Documents are loaded in parallel with People and Company records. Any document without a resolvable parent contact is held in a staging table and presented to the customer for manual mapping.
Activity history and task import
We load KulaHub activity history (calls, emails, system events) into Monday.com as timeline entries on the corresponding People or Company items, preserving chronological order by timestamp. KulaHub tasks and reminders migrate as Tasks attached to the relevant People or Company record, with due dates and assignments resolved via the user-to-member mapping. GDPR unsubscribe flags are written to the custom field on each affected Person record.
Cutover, validation, and automation handoff
We freeze KulaHub writes during the cutover window, run a final delta migration of any records modified during the window, then enable Monday.com CRM as the system of record. We deliver a reconciliation report comparing record counts between KulaHub source and Monday.com destination for every object type. We provide a written inventory of KulaHub automation and campaign logic for the customer's admin to rebuild in Monday.com using its Recipe automation system. We do not rebuild KulaHub automations as Monday.com Recipes within the migration scope.
Platform deep dives
KulaHub
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between KulaHub and monday CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across KulaHub and monday CRM.
Object compatibility
All 8 core objects map 1:1 between KulaHub and monday CRM.
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
KulaHub: Not publicly documented.
Data volume sensitivity
KulaHub 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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