CRM migration
Field-level mapping, validation, and rollback between Clientify and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Clientify
Source
monday CRM
Destination
Compatibility
6 of 8
objects map 1:1 between Clientify and monday CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Clientify to Monday.com CRM is a shift from a purpose-built CRM to a flexible work operating system with a CRM layer. Clientify stores contacts, companies, deals, pipeline stages, WhatsApp conversations, and marketing campaign metrics as native CRM objects; Monday.com CRM represents all of these as Items on customizable Boards where columns replace traditional field types. We extract records from Clientify's export format, map each field to a matching Monday column type (text, date, number, status, dropdown, link, location), and import into pre-configured Boards. Pipeline stages that live as first-class objects in Clientify require reconstruction in Monday.com CRM as Status column values on a Deals Board. Clientify's automation rules and WhatsApp conversation threads present the most significant migration risks: automations have no exportable format and WhatsApp history depends on Clientify's API at migration time. We document every active automation during scoping and preserve available WhatsApp metadata with an explicit gap note where full thread export is not possible.
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 Clientify 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.
Clientify
Contact
monday CRM
Board Item (Contacts Board)
1:1Clientify Contacts migrate as Items on a Contacts Board in Monday.com CRM. Standard fields (name, email, phone, company association, lifecycle stage) map to Monday text, email, phone, link, and status columns respectively. The Board must be pre-configured with matching column types before import. Custom properties on Clientify Contacts require column type selection during board setup; picklist and multi-select properties map to Monday Dropdown or Status columns. Tags from Clientify can map to a Tag column or remain as comma-separated text in a multi-select field depending on the customer's preferred structure.
Clientify
Company
monday CRM
Board Item (Companies Board)
1:1Clientify Companies map to Items on a Companies Board. Industry, size, annual revenue, and address fields map to corresponding Monday column types (text, number, location). Each Company Item can link to related Contact Items via a link column or through a connected board integration. If the customer uses Clientify's company-contact relationship for hierarchical reporting, we configure the Monday connected boards feature during board setup to preserve that relationship.
Clientify
Deal
monday CRM
Board Item (Deals Board)
1:1Clientify Deals migrate as Items on a Deals Board. Deal name, value, expected close date, and owner map to Monday text, number, date, and person columns respectively. The dealstage property maps to a Status column with values matching Clientify's pipeline stages. If multiple Clientify pipelines exist, they map to separate Deals Boards or to separate Status groups within a single board. Closed-Lost and Closed-Won custom properties from Clientify become Dropdown or Status columns in Monday.com CRM.
Clientify
Pipeline Stage
monday CRM
Status Column Values
lossyClientify pipeline stages require reconstruction in Monday.com CRM as Status column values on the Deals Board. We extract the stage names, ordering, and probabilities from Clientify during discovery and configure the Status column with matching values before import. Stage probabilities from Clientify are stored as a separate number column in Monday.com since the platform does not have native stage probability percentages. If the customer uses multiple pipelines, we set up separate Status groups within a single column to preserve pipeline segmentation.
Clientify
Lead
monday CRM
Board Item (Leads Board)
1:1Clientify Leads migrate as Items on a Leads Board. Source, status, and lead score fields map to corresponding Monday columns. If the customer prefers to keep leads and contacts in separate boards, we configure two boards with a connected boards relationship; if they want a unified record view, we add a type/status filter to a single Contacts Board. Hubspot-style lead score values migrate as a number column with conditional formatting applied in Monday for quick visual prioritization.
Clientify
Activity (Call, Email, Meeting, Task)
monday CRM
Board Item (Activities Board)
1:manyClientify Activities split across an Activities Board where each engagement type (call, email, meeting, task) becomes a Status column value or a separate sub-board grouped by type. Call duration, disposition, and recording URL migrate to number, text, and link columns respectively. Meeting details (date, time, location, attendees) map to date, time, location, and person columns. Email subject and body migrate as text columns. Activity timestamps are preserved as the Item's Created On date or as a separate date column for accurate timeline reconstruction.
Clientify
WhatsApp Conversation
monday CRM
Custom Columns on Contact Item
1:1WhatsApp conversation threads attached to Clientify Contacts migrate as available metadata only. We extract timestamps, participant IDs, message counts, and last-message content where Clientify's export API permits. Full message body and media attachments depend on Clientify's API at migration time and may not be fully exportable. We flag the completeness of WhatsApp export data before committing to the migration timeline and note any gaps explicitly. Since Monday.com CRM has no native WhatsApp integration, conversation metadata stores as text or link columns on the related Contact Item.
Clientify
Marketing Campaign
monday CRM
Board Item (Campaigns Board)
1:1Clientify campaign records with open rates, click rates, and send volumes migrate as Items on a Campaigns Board. Performance metrics map to number columns for each KPI. Campaign automation logic (sending times, A/B test conditions, trigger rules) cannot be extracted from Clientify and does not migrate; we note these as rebuild items for the customer's marketing team. Monday.com CRM does not have a native email campaign execution feature, so the Campaigns Board serves as a historical record and reporting tool rather than an active sending platform.
| Clientify | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | Board Item (Contacts Board)1:1 | Fully supported | |
| Company | Board Item (Companies Board)1:1 | Fully supported | |
| Deal | Board Item (Deals Board)1:1 | Fully supported | |
| Pipeline Stage | Status Column Valueslossy | Fully supported | |
| Lead | Board Item (Leads Board)1:1 | Fully supported | |
| Activity (Call, Email, Meeting, Task) | Board Item (Activities Board)1:many | Fully supported | |
| WhatsApp Conversation | Custom Columns on Contact Item1:1 | Fully supported | |
| Marketing Campaign | Board Item (Campaigns Board)1:1 | 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.
Clientify gotchas
Workflow automation logic does not export
WhatsApp conversation history depends on API exportability
Custom properties may have schema restrictions at destination
Marketing campaign metrics are exportable but campaign logic is not
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 board structure design
We audit the Clientify portal across records, custom properties, pipeline configurations, active workflows, engagement volume, and WhatsApp conversation history availability. We pair this with a Monday.com CRM board structure design: we define a Contacts Board, Companies Board, Deals Board (with Status column for pipeline stages), Leads Board, and Activities Board based on what data exists in Clientify. The discovery output is a written migration scope with board blueprints, column type assignments for every Clientify field, and a workflow audit worksheet for documenting automations requiring rebuild.
Board and column pre-configuration
We create the destination boards in Monday.com CRM with the correct column types matched to Clientify's field types. Status columns are configured with values matching Clientify pipeline stages before any import begins. Dropdown and multi-select columns are pre-populated with the picklist values that exist in Clientify to avoid import failures. Connected boards are set up to link Contacts to Companies and Deals to Contacts. This phase requires the customer's Monday.com admin to provision the necessary boards and share them with the migration user.
Deduplication pass and data cleanup
We run a deduplication pass against the Clientify export data to identify duplicate contacts (matching on email), duplicate companies (matching on domain), and duplicate deals. We resolve duplicates in coordination with the customer before import. Any malformed data (missing required fields for the destination column type, invalid date formats, non-numeric values in number columns) is normalized or flagged for the customer's review. Data cleanup happens before import, not after, to avoid the manual merge overhead that Monday.com CRM requires.
Record migration in dependency order
We run the migration in record dependency order: Companies first (as standalone Items), then Contacts (with company link resolved), then Deals (with contact and company links resolved), then Leads, then Activities. Each phase emits a row-count reconciliation report showing records exported, records imported, and any records that failed with error reasons. Monday.com's API rate limits are handled with exponential backoff and batch chunking to avoid import failures on large datasets. The customer validates record counts and spot-checks 15-30 records per object before we proceed to the next phase.
Cutover and automation handoff
We freeze Clientify writes during cutover, run a final delta migration of any records modified during the migration window, then enable Monday.com CRM as the system of record. We deliver the workflow audit worksheet documenting every active Clientify automation with recommended replacement approaches (Monday Integrations, Zapier, Make, or manual process updates). We support a three-day hypercare window where we resolve reconciliation issues raised by the customer's team. We do not rebuild Clientify automations in Monday.com or configure Monday Integrations as part of the migration scope; those are separate configuration engagements.
Platform deep dives
Clientify
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Clientify and monday CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Clientify and monday CRM.
Object compatibility
All 8 core objects map 1:1 between Clientify 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
Clientify: Not publicly documented.
Data volume sensitivity
Clientify 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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Category
FAQ
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