CRM migration
Field-level mapping, validation, and rollback between Customer Database App and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Customer Database App
Source
monday CRM
Destination
Compatibility
5 of 8
objects map 1:1 between Customer Database App and monday CRM.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Moving from Customer Database App to Monday.com CRM is a structural migration driven by the absence of a public API on the source side and the need for collaboration, automation, and integrations on the destination side. Customer Database App has no documented REST or GraphQL endpoint; we extract data exclusively through CSV exports generated in the app, inferring the active field schema from column headers. Every installation has a different field set, so we reverse-engineer the custom property list before mapping each to a Monday.com column type (text, number, date, phone, email, or dropdown). Pipeline stages migrate as Monday.com groups within a CRM board. Tags stored as comma-separated strings on each contact are split into individual Monday.com tags. Contact images and PDF record exports are bundled into a ZIP and attached as file column values. We do not migrate Vouchers, call history logs, or app-specific automation objects; these are documented as supplemental exports for manual re-entry.
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 Customer Database App 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.
Customer Database App
Contact
monday CRM
Person (People board item)
1:1Customer Database App's Contact is the primary record. We extract all fields from the CSV export, infer the active column list from the first export file's headers, and map each to a Monday.com People board column type (text, email, phone, number, date, country, or dropdown). The contact's unique identifier from the app becomes a custom Monday.com column for reconciliation. Standard fields like name, phone, email, and address map directly; all user-defined fields become custom Monday.com columns.
Customer Database App
Custom Properties
monday CRM
Custom Columns (People board)
lossyEvery Customer Database App installation has a different field set with no canonical schema. We reverse-engineer the active field list from the exported CSV column headers. Fields containing commas in free-text values are quoted and sanitized during import. Dropdown or multi-select fields in the app map to Monday.com dropdown or status columns. Date fields map to Monday.com date columns. Phone numbers map to the phone column type with international format preservation.
Customer Database App
Pipeline Stages
monday CRM
Groups + Status Column (CRM board)
lossyCustomer Database App's Kanban pipeline stages are stored as a label on each contact record. We extract unique stage names, create a corresponding Group in Monday.com for each stage, and configure a Status column whose values match the stage names. The CRM board uses the Person board with a Status column and Group filter to reproduce the Kanban view. Stage ordering is preserved based on the app's stage sequence.
Customer Database App
Groups / Tags
monday CRM
Tags (board-level)
1:manyCustomer Database App stores tags as comma-separated label strings on each contact record. We split these into individual tag tokens and create a Tag in Monday.com for each unique value if it does not already exist. Tags are applied to the corresponding People board item. This is a one-to-many operation where one contact's tag field can produce multiple Monday.com tags on a single item.
Customer Database App
Birthday Records
monday CRM
Date Column
1:1Birthday is stored as a date on the contact record. We map it to a Monday.com date column labeled Birthday. If the destination board does not have a dedicated birthday field, the date migrates to a generic date column and the customer configures a dedicated column post-migration. The original date format from the CSV is normalized to ISO 8601 before insert.
Customer Database App
Documents / Attachments
monday CRM
File Column (People board item)
1:1Contact images and PDF record exports generated within Customer Database App are bundled into a ZIP archive alongside the CSV. We attach each contact's image or PDF to the corresponding item in Monday.com using the file column type. File attachments are associated by matching the contact record's unique identifier to the Monday.com item. Large archives are split into batches to stay within Monday.com API upload limits.
Customer Database App
Vouchers
monday CRM
Supplemental CSV (no direct mapping)
1:1Vouchers are a standalone object in Customer Database App with no direct equivalent in Monday.com CRM. Voucher balances and usage history do not migrate through the standard API. We export a supplemental CSV containing voucher details (voucher ID, balance, customer association, and usage timestamps) and deliver it to the customer for manual re-entry in Monday.com or a separate spreadsheet. This limitation is documented in the migration scope before extraction begins.
Customer Database App
Phone Call History
monday CRM
Supplemental Documentation (no direct mapping)
1:1The caller-ID log and call history in Customer Database App are transient device-level records that are not exported via CSV or VCF. These records do not migrate. We recommend documenting call-handling procedures separately before cutover and connecting a telephony integration (such as CloudTalk for Monday.com) post-migration to restore call logging functionality in the new system.
| Customer Database App | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | Person (People board item)1:1 | Fully supported | |
| Custom Properties | Custom Columns (People board)lossy | Mapping required | |
| Pipeline Stages | Groups + Status Column (CRM board)lossy | Fully supported | |
| Groups / Tags | Tags (board-level)1:many | Mapping required | |
| Birthday Records | Date Column1:1 | Mapping required | |
| Documents / Attachments | File Column (People board item)1:1 | Mapping required | |
| Vouchers | Supplemental CSV (no direct mapping)1:1 | Not supported | |
| Phone Call History | Supplemental Documentation (no direct mapping)1:1 | Not 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.
Customer Database App gotchas
No API means migration runs through CSV exports only
User-defined schema creates field mapping ambiguity
MySQL sync creates a parallel data source that must be reconciled
Voucher and birthday objects have no standard CRM equivalent
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
Source data extraction and field schema inference
We coordinate with the customer to run a complete CSV export from Customer Database App, including all contact fields, pipeline stage assignments, tags, birthday data, and any document or image attachments. If MySQL sync is enabled, we also connect to the MySQL instance to extract the most current dataset and reconcile it against the CSV export. We infer the active field schema from the CSV column headers and generate a field inventory document listing every column name, inferred type (text, date, number, phone, email, dropdown), and the count of non-empty values for each. The customer reviews and approves the inferred schema before mapping begins.
Monday.com board architecture design
We design the destination Monday.com CRM board structure based on the inferred source schema. This includes creating a People board, configuring the Status column with pipeline stage values mapped from Customer Database App's Kanban stages, adding all inferred custom fields as typed Monday.com columns, and setting up board groups corresponding to pipeline stages. We create a separate board for any supplemental data (vouchers, notes) if the customer prefers to keep it visible in Monday.com rather than a standalone spreadsheet.
Tag reconciliation and multi-value field split
We process the comma-separated tag strings from each contact record, split them into individual tokens, and generate a tag creation and assignment plan for Monday.com. Duplicate tag values across contacts are deduplicated so each unique tag is created once and applied to every relevant item. Multi-select or dropdown fields from Customer Database App are resolved to Monday.com dropdown or status column values. Any field value containing special characters or encoding issues from the CSV is sanitized before mapping.
Document and attachment bundling
Contact images and PDF record exports from Customer Database App are collected into a per-contact folder structure and bundled into a ZIP archive. We map each file to its corresponding contact record using the unique identifier from the CSV. The ZIP is processed in batches to stay within Monday.com API file upload limits, and each file is attached to the correct People board item via the file column. File attachment failures are logged and retried before the final validation pass.
Sandbox migration and reconciliation
We run a full migration into a test board within the customer's Monday.com workspace using the exported data volume. The customer reconciles record counts, spot-checks 20-30 random items against the source CSV, and verifies that custom field values, tags, and attachments appear correctly. Any field mapping corrections, missing columns, or attachment failures are resolved in this test pass. The customer signs off on the sandbox migration before production migration begins.
Production migration and cutover
We run the production migration into the live Monday.com CRM board with data in the same dependency order: board and column schema first, then contact records with all custom field values, then tags, then file attachments. We freeze writes in Customer Database App during the cutover window and run a final delta export to capture any records modified after the initial export. Monday.com becomes the system of record once the migration is validated. We deliver the voucher and call history supplemental CSV exports to the customer for manual re-entry. We do not rebuild Customer Database App automations or sequences (none exist on the source) into Monday.com automations as standard scope; the automation inventory document is delivered separately for the customer's admin to configure based on their workflow.
Platform deep dives
Customer Database App
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Customer Database App and monday CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Customer Database App and monday CRM.
Object compatibility
All 8 core objects map 1:1 between Customer Database App 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
Customer Database App: Not applicable — no API exists.
Data volume sensitivity
Customer Database App 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.
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FAQ
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