CRM migration
Field-level mapping, validation, and rollback between Klipy CRM and Twenty CRM. We move data and schema; workflows are rebuilt natively in Twenty CRM.
Klipy CRM
Source
Twenty CRM
Destination
Compatibility
8 of 10
objects map 1:1 between Klipy CRM and Twenty CRM.
Complexity
CModerate
Timeline
2-4 weeks
Overview
Migrating from Klipy CRM to Twenty CRM moves data from an email-first, AI-drafting platform with a rigid, fixed schema into a self-hostable, open-source CRM with a fully customizable data model. The primary technical challenge is Klipy's undocumented API — we probe for export mechanisms during scoping and fall back to structured CSV extraction if no programmatic path exists. We deduplicate Contacts (Klipy auto-creates them from email threads, so the same person often appears with slight name variations), preserve AI follow-up drafts as note content, and map Klipy's single fixed pipeline to a Twenty Sales Process with equivalent stages. Custom fields require a schema discovery pass before mapping because Klipy's custom field definitions are not publicly documented. Workflows, sequences, and outreach logs do not migrate because Klipy has no native email sending — we deliver a written inventory of any automations requiring rebuild in Twenty'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 Klipy CRM object lands in Twenty CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Klipy CRM
Contact
Twenty CRM
People
1:1Klipy Contacts map directly to Twenty People records using email address as the primary dedupe key. Klipy auto-creates contacts from Gmail/Microsoft email threads, so the same person frequently appears with slight name variations (different casing, nicknames, or company affiliations). We apply email-based deduplication during extraction, normalize names to a consistent format, and flag potential duplicates for customer review before final import. Contact owner assignment maps to Twenty's workspace Member via email match.
Klipy CRM
Company
Twenty CRM
Company
1:1Klipy Company records map to Twenty Company records. Domain-based normalization is applied since Klipy auto-populates company names from email sender domains during import. Company is created before People import so the People-Company relationship is satisfied at insert time. If a Klipy Contact has no explicit Company link, we optionally create a Company record from the Contact's domain for relationship completeness.
Klipy CRM
Deal
Twenty CRM
Opportunity
1:1Klipy Deals map to Twenty Opportunity records. The deal name, value (amount), stage, and creation date migrate directly. Klipy's pipeline is fixed — we map the existing stage names verbatim to Twenty Opportunity stages and create a Sales Process in Twenty matching Klipy's stage sequence before migration begins. Closed-Won and Closed-Lost dates migrate as stage exit timestamps if present.
Klipy CRM
Pipeline
Twenty CRM
Sales Process
lossyKlipy has a single default pipeline that cannot be customized. We create one Sales Process in Twenty with stage names and probabilities that mirror the Klipy source exactly. If Twenty's default stage set differs in count, we collapse or expand the stage list per the customer's confirmed stage mapping during scoping. This configuration is applied before any Opportunity records are imported.
Klipy CRM
Activity (emails, calls, meetings, messages)
Twenty CRM
Task
1:manyKlipy captures Activities across email, calls, LinkedIn, WhatsApp, and Telegram channels. All activity types map to Twenty Task records, with the activity type stored in a custom field or the task body for traceability. Call duration and disposition migrate as custom fields on the Task. We preserve the original timestamp as ActivityDate so the activity timeline in Twenty reflects the correct sequence. Activity-to-Contact linking requires parent record resolution during import (WhoId lookup).
Klipy CRM
Note (including AI follow-up drafts)
Twenty CRM
Task (body content)
1:1Klipy Notes store AI-generated follow-up drafts and manual annotations. We migrate note body content to Twenty Task body, preserving the original timestamp and linking to the related People or Opportunity record. AI draft metadata (e.g., originating channel, draft status) is stored in a custom note property or task custom field. The customer chooses whether to surface AI drafts as Tasks or as separate Comments during scoping.
Klipy CRM
Tag
Twenty CRM
Tag
1:1Klipy Tags on Contacts and Deals migrate to Twenty Tags. Tag names are preserved verbatim, and we reapply them to the mapped People and Opportunity records. If Twenty uses a different tag taxonomy or scope (People-only vs. multi-object), we normalize tag names and confirm the target scope during mapping design.
Klipy CRM
Custom Field (Contacts and Deals)
Twenty CRM
Custom Field
1:1Klipy's custom field schema is not publicly documented. During scoping, we run a schema discovery probe to enumerate available custom fields on Contacts and Deals. We map each discovered custom field to an equivalent Twenty custom field (created in Settings → Data Model before import). Field type mapping follows the detected Klipy type: text fields map to Twenty text, date fields to date pickers, numeric fields to number fields, and picklist fields to select fields.
Klipy CRM
Attachment
Twenty CRM
Attachment (or Note with file)
1:1Files attached to Klipy Deals or Activities migrate as Twenty attachments linked to the corresponding Opportunity or Task. We verify file integrity post-migration and flag any files exceeding Twenty's size limits. If Klipy attachment URLs are inaccessible after the customer closes their Klipy account, we advise exporting attachment binaries during the extraction phase before account deprovisioning.
Klipy CRM
Pipeline Stage Configuration
Twenty CRM
Stage Configuration
1:1Pipeline stages cannot be renamed or customized in Klipy — there is nothing to configure on the source side. We do not migrate stage configuration records. Instead, we design the equivalent stage configuration in Twenty before migration begins, using Klipy's existing stage names as the target. The customer reviews and approves the stage mapping during scoping.
| Klipy CRM | Twenty CRM | Compatibility | |
|---|---|---|---|
| Contact | People1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline | Sales Processlossy | Fully supported | |
| Activity (emails, calls, meetings, messages) | Task1:many | Fully supported | |
| Note (including AI follow-up drafts) | Task (body content)1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Custom Field (Contacts and Deals) | Custom Field1:1 | Fully supported | |
| Attachment | Attachment (or Note with file)1:1 | Fully supported | |
| Pipeline Stage Configuration | Stage Configuration1:1 | 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.
Klipy CRM gotchas
No public API documentation confirmed
Pipeline stages are fixed and cannot be renamed
No native email sending means sequences do not migrate
Contact data originates from email sync, not manual entry
Slow load times with large datasets reported in G2 reviews
Twenty CRM gotchas
Import order is enforced and critical
Export limited to 20,000 records and visible columns only
Soft-deleted records count toward uniqueness and trigger restores
API rate limits cap at 200 req/min on Organization tier
No native email sequences — follow-up cadences require external tools
Pair-specific challenges
Migration approach
Scoping and export path verification
We audit Klipy's data volume across Contacts, Companies, Deals, Activities, Notes, and any detected custom fields. We probe Klipy directly for API access (including undocumented endpoints) and fall back to a structured CSV export template if no programmatic path exists. We also run email-based duplicate analysis on a sample of Contacts to estimate deduplication scope. The scoping output is a written migration scope, a confirmed export path, and a deduplication estimate. The customer reviews and signs off before work begins.
Twenty workspace preparation
We create the Twenty workspace by inviting all team members (User provisioning must precede record import because Owner and Assignee references require existing users), creating any custom fields discovered during schema discovery, designing the Opportunity Sales Process to match Klipy's fixed stage names, and setting up Company and People record type configurations if applicable. All schema elements are created in Twenty before any data is imported so that field validation rules do not reject records during load.
Data extraction and transformation
We extract data from Klipy using the confirmed export path (API or CSV). For CSV exports, we apply column mapping to Twenty field names, transform date formats, normalize company names via domain extraction, apply email-based deduplication, and compute the Activity type mapping (all channels → Twenty Task with type custom field). For API-based extraction, we paginate through all record types, resolve linked record references (Contact → Company), and apply the same transformation pipeline. Each object emits a row count and a sample record preview for customer validation.
Sandbox test import and reconciliation
We run a full migration into a Twenty workspace (or a named test area if using SaaS) using production-equivalent data volume. The customer reconciles record counts (People in, Companies in, Opportunities in, Tasks in), spot-checks 25-50 records against the Klipy source for field accuracy and relationship integrity, and reviews the duplicate report. Any mapping corrections, missing fields, or schema gaps are resolved here before the production migration window opens.
Production migration in dependency order
We run production migration in dependency order: Companies first (for relationship resolution), then People (with CompanyId resolved via domain match), then Opportunities (with PeopleId and CompanyId resolved), then Tasks and Notes (with PeopleId and OpportunityId resolved). Attachments migrate after their parent records. Each phase emits a row-count reconciliation report. We freeze Klipy writes during the final cutover window and run a delta pass for any records modified during the migration window before switching the system of record.
Cutover, validation, and automation handoff
We enable Twenty as the system of record and conduct a post-migration validation pass: record counts match between source and destination, 25-50 random records are spot-checked by the customer for field accuracy, and the opportunity pipeline totals are verified against Klipy's pre-migration snapshot. We deliver a written automation inventory documenting any workflow or sequence patterns observed in the source data that would need rebuilding in Twenty's workflow builder. We provide a one-week hypercare window for reconciliation issues raised during the first week of live use.
Platform deep dives
Klipy CRM
Source
Strengths
Weaknesses
Twenty CRM
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 6 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Klipy CRM and Twenty CRM.
Object compatibility
6 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
Klipy CRM: Not publicly documented.
Data volume sensitivity
Klipy CRM 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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