CRM migration
Field-level mapping, validation, and rollback between KulaHub and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
KulaHub
Source
Pipedrive
Destination
Compatibility
9 of 12
objects map 1:1 between KulaHub and Pipedrive.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from KulaHub to Pipedrive is a platform migration that requires resolving several structural differences. KulaHub stores all business entities as Contacts without a separate Company or Account object; Pipedrive has a distinct Organization object that must be derived either from a company name field on KulaHub contacts or from form-submission data. KulaHub has no Deals or Pipeline object, so every pipeline stage and deal record must be created fresh in Pipedrive with the customer's preferred stage names and probabilities. KulaHub has no public API documentation and no self-service bulk export, so we coordinate directly with KulaHub support to extract data and measure live rate-limit behaviour before committing to a migration timeline. Pipedrive's API enforces plan-tier burst limits (20-120 requests per 2-second window on the Growth through Ultimate plans) and a separate Search API limit of 10 requests per 2 seconds; we respect both windows and use retry logic with exponential backoff. Workflows, email sequences, and automations do not migrate; we deliver a written inventory for the customer's admin to rebuild in Pipedrive's workflow builder.
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 Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
KulaHub
Contact
Pipedrive
Person
1:1KulaHub contacts map 1:1 to Pipedrive People. Every standard field (name, email, phone, address, job title) maps directly. We use the contact's email address as the dedupe key during import. Any contact that originated from a KulaHub form submission carries its form-field data into custom fields on the Pipedrive Person record, or into standard fields where field types match.
KulaHub
Company data (Contact-based)
Pipedrive
Organization
1:manyKulaHub has no separate Company or Account object. We derive Pipedrive Organizations by extracting the company_name field from KulaHub contacts, deduplicating by name, and creating one Organization per unique company. Contacts then link to their Organization via a lookup after Organization records are established. If KulaHub contacts contain a domain field, we use it to group contacts under the same Organization.
KulaHub
Deal (new creation)
Pipedrive
Deal
lossyKulaHub does not have a Deals object, so all pipeline data must be created from scratch in Pipedrive. We work with the customer's RevOps lead during scoping to define the Pipeline name, stage names, stage probabilities, and any custom deal fields. We then create the Pipeline and Stages via Pipedrive's API before any deal records are imported. Deals can optionally be back-populated from any deal-related data stored in KulaHub custom fields or notes.
KulaHub
Activity: Call
Pipedrive
Activity (type = call)
1:1KulaHub call logs map to Pipedrive Activity records with type = call. Call duration, disposition, and any notes stored in KulaHub migrate to Pipedrive Activity fields. We set the activity's Person link to the migrated contact. Activities are loaded in chronological order by timestamp to preserve the timeline.
KulaHub
Activity: Email
Pipedrive
Activity (type = email)
1:1KulaHub email engagements map to Pipedrive Activity records with type = email. Subject, body content, and send timestamp transfer. Whether the email was sent, received, or logged manually in KulaHub is captured in a custom Activity field on the Pipedrive record. The Person link resolves via email-address match against migrated contacts.
KulaHub
Activity: Meeting
Pipedrive
Activity (type = scheduled)
1:1KulaHub meeting logs map to Pipedrive Activities with date, duration, and title preserved. Attendee information is stored as notes on the Activity record. We link the Activity to the relevant Person in Pipedrive. Any meeting location or video call URL stored in KulaHub migrates as a note on the Activity.
KulaHub
Task/Reminder
Pipedrive
Activity (type = task)
1:1KulaHub tasks and reminders map to Pipedrive Activities with type = task. Status (open, completed), due date, assigned user, and task body migrate. We resolve KulaHub task owners against the destination user list by email match; any unresolved owners are held for the customer admin to map before the task phase runs.
KulaHub
Email Campaign history
Pipedrive
Activity (type = email) with campaign tag
1:1KulaHub email campaign sends, opens, clicks, and unsubscribes are extracted as engagement records. We load them as Pipedrive Activities with type = email, tagged with a custom campaign identifier field. Open and click events from KulaHub tracking are logged as separate Activities with a subtype field to preserve engagement detail.
KulaHub
GDPR preference data
Pipedrive
Person field (opt-out flag)
1:1KulaHub stores email unsubscribe states and GDPR preference flags per contact. We export these as custom fields on the Pipedrive Person record (has_unsubscribed = true/false, gdpr_consent_date if available). The customer should configure Pipedrive's email deliverability settings to respect the HasOptedOutOfEmail-equivalent flag after migration, and should run a suppression-list audit before launching email campaigns.
KulaHub
Document/Attachment
Pipedrive
File (via Pipedrive Files API)
1:1KulaHub documents attached to contacts are extracted as binary blobs and re-uploaded via Pipedrive's Files API, linked to the corresponding Person record via file-entity association. We preserve the original filename and, where available, the upload timestamp. Attachments that cannot be extracted (e.g. restricted by KulaHub) are logged in the reconciliation report.
KulaHub
User
Pipedrive
User
1:1KulaHub users appear in activity logs and task assignments. We export the full user list first and match by email address against the destination Pipedrive user directory. Any KulaHub user without a matching Pipedrive user goes to a reconciliation queue for the customer admin to provision before records that reference those users are loaded.
KulaHub
Reports
Pipedrive
Pipedrive Reports (reference documentation)
lossyKulaHub exports system activity reports and CRM activity reports. We include these in the scope as reference data so that reporting context is not lost. Pipedrive has its own built-in reporting engine and does not accept report schema imports; we deliver a written mapping of which Pipedrive Reports replace each KulaHub report for the customer admin to configure post-migration.
| KulaHub | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company data (Contact-based) | Organization1:many | Fully supported | |
| Deal (new creation) | Deallossy | Fully supported | |
| Activity: Call | Activity (type = call)1:1 | Fully supported | |
| Activity: Email | Activity (type = email)1:1 | Fully supported | |
| Activity: Meeting | Activity (type = scheduled)1:1 | Fully supported | |
| Task/Reminder | Activity (type = task)1:1 | Fully supported | |
| Email Campaign history | Activity (type = email) with campaign tag1:1 | Fully supported | |
| GDPR preference data | Person field (opt-out flag)1:1 | Fully supported | |
| Document/Attachment | File (via Pipedrive Files API)1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Reports | Pipedrive Reports (reference documentation)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
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Discovery and KulaHub API probe
We audit the KulaHub account for record counts (contacts, activities, documents, users, email campaign history), identify any company-name fields that can seed Pipedrive Organizations, and probe the KulaHub API with a small batch of requests to measure response headers, status codes, and rate-limit behaviour. We also request a sample contact export via KulaHub support to understand the field schema in practice. The discovery output is a written scope confirming what data is extractable, what requires assisted export, and a preliminary migration timeline.
Pipedrive workspace configuration
We configure the Pipedrive workspace before any data loads: we create the Pipeline with customer-defined Stages, set stage probabilities, add any required custom fields to Person, Organization, Deal, and Activity objects, and configure user accounts to match the KulaHub user list. Pipeline configuration is validated via Pipedrive's API before the production migration begins. We use a Sandbox or trial org to test the schema before touching production data.
Owner and user reconciliation
We extract every distinct KulaHub user and resolve them by email address against the destination Pipedrive user directory. Users without a Pipedrive account are listed in a reconciliation report for the customer admin to provision. Owner resolution must complete before any records that reference owners (Activities, Tasks, Deals) are loaded, because Pipedrive requires a valid OwnerId on insert.
Data extraction and transformation
We extract KulaHub data in dependency order: Users first, then Contacts, then Organizations (derived from contact company-name fields), then Activities (calls, emails, meetings, tasks) as a chronological time-series, then documents, then GDPR preference flags. Form-submission data is extracted as key-value pairs and mapped to custom Person fields. Any unmapped fields are held in a staging table and presented to the customer for manual field mapping before the production run. We maintain a pre-migration checkpoint throughout.
Production migration in dependency order
We run production migration in record-dependency order: Users (validated), Organizations (created from company-name derivation), Persons (1:1 with email dedupe key), Activities (chronological, respecting Pipedrive burst limits separately for main and Search APIs), Documents (uploaded and linked via Pipedrive Files API), GDPR flags (set on Person records post-import). Each phase emits a row-count reconciliation report before the next phase begins. We run migrations in read-only test-then-cutover phases to avoid accidental deletions.
Cutover, validation, and automation handoff
We freeze KulaHub writes during cutover, run a final delta migration of any records modified during the migration window, then enable Pipedrive as the system of record. We validate a sample of records against the KulaHub source, confirm GDPR flags are set correctly, and verify that Organizations are linked to Persons. We deliver a written inventory of any KulaHub automations, email sequences, or workflow logic that requires rebuild in Pipedrive's workflow builder. We support a one-week hypercare window for reconciliation issues.
Platform deep dives
KulaHub
Source
Strengths
Weaknesses
Pipedrive
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 KulaHub and Pipedrive.
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
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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