CRM migration
Field-level mapping, validation, and rollback between Markate and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Markate
Source
monday CRM
Destination
Compatibility
8 of 9
objects map 1:1 between Markate and monday CRM.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Moving from Markate to Monday.com CRM is a CSV-mediated migration constrained by Markate's absence of a public REST API. Every record moves through Markate's built-in Data Migration tool as an exported CSV file, which we clean, deduplicate, and validate before importing into Monday.com boards and CRM entities. Markate organizes field operations around six record types; Monday.com CRM uses a board-and-item model with custom columns that can replicate most of that schema but requires a custom column design pass before data loads. We sequence Customers first (resolving duplicate detection against Monday.com's email uniqueness), then Items and Categories (for line-item lookups), followed by Estimates, Work Orders, and Invoices in dependency order. Markate's custom fields and file attachments are not exposed in CSV exports and are flagged as manual-recreate items. Monday.com automations, board templates, and integration recipes do not migrate; we deliver a written inventory for the customer's admin to rebuild.
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 Markate 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.
Markate
Customer
monday CRM
Contact (CRM Board)
1:1Markate Customer records map to Monday.com CRM Contact entities on the CRM board. We extract first name, last name, email, phone, address, and notes from the CSV and load them into the corresponding Contact columns. Email address serves as the deduplication key since Monday.com CRM enforces uniqueness on email for Contact creation. We run a pre-flight duplicate analysis on the exported CSV and present a report before importing to resolve any existing duplicates in Markate that would otherwise create duplicate Contacts on import.
Markate
Customer
monday CRM
Company (CRM Board)
1:1Markate Customers with a company name field map to Monday.com CRM Company entities. The company name becomes the Company Name column; address and phone migrate to corresponding columns. When a Customer has both individual and company data, we import both a Contact and a Company and link them via the Contact-Company relationship in Monday.com CRM. Customers without a company name import as Contacts only.
Markate
Item
monday CRM
Product (Price Book or custom Item Board)
1:1Markate Items define the product and service catalog used in Estimates and Invoices. Items migrate to Monday.com as custom item records on a Products board, with name, description, unit price, and SKU mapped to corresponding custom columns. If the customer uses Monday.com's native CRM product features, we map Items to CRM Products where available. Categories must migrate first to establish a parent-reference column for Items since Markate enforces this hierarchy.
Markate
Category
monday CRM
Group (on Products Board)
lossyMarkate Categories define product groupings for Items. We import Categories as Groups on the Products board in Monday.com, preserving the category name and assigning each Item to its Category group during import. This step must complete before Item import so that each Item can reference its Category group. Markate enforces that Categories exist before Items; Monday.com Group ordering is preserved to match the original hierarchy.
Markate
Work Order
monday CRM
Item (custom Work Orders Board)
1:1Markate Work Orders represent job tickets with job details, assigned team members, schedule, and status. We map these to Items on a custom Work Orders board in Monday.com with columns for job description, status, assigned team member (linked to a Team board or User column), scheduled date and time, customer reference (linked Contact), and any line items referencing the Products board. Status values from Markate map to Monday.com Status column values that we define during schema setup.
Markate
Estimate
monday CRM
Deal or Item (custom Estimates Board)
1:1Markate Estimates map to Deals in Monday.com CRM or to Items on a custom Estimates board depending on the customer's preferred workflow. The estimate amount, status (sent, accepted, declined), and customer reference migrate. Line items on the Estimate reference the Products board Items. If the customer uses Monday.com CRM Deals, the Deal status maps from Markate Estimate status; if they use a custom board, status values are defined as columns. We validate that the customer reference resolves to a valid Monday.com Contact before inserting.
Markate
Invoice
monday CRM
Deal (CRM Board) or Item (custom Invoices Board)
1:1Markate Invoices with amounts, payment status, and line items map to Monday.com Deals (if using CRM) or Items on a custom Invoices board. Partial payment status from Markate migrates as a custom Payment Status column since Monday.com does not have a native partial-payment concept. Invoice number becomes a unique identifier column. Invoices reference the Customer (Contact) and any line items (Products) via lookups that must resolve at migration time.
Markate
Expense
monday CRM
Item (custom Expenses Board)
1:1Markate Expenses track job-related costs linked to Work Orders or Customers. We map these to Items on a custom Expenses board with columns for vendor name, amount, expense category, date, and the related Work Order (via an Item link column). Expenses do not have a direct Monday.com CRM equivalent and are handled as a custom board. Receipt attachment files are noted as manual-recreate items since Markate does not export attachments via CSV.
Markate
Team Member
monday CRM
User or Item (custom Team Board)
1:1Markate Team Members are billable users assigned to Work Orders and Invoices. We import team records to preserve assignment history in Monday.com. If the customer provisions Monday.com User accounts for their team, we match by email and create a lookup relationship from Work Order items to the corresponding User. If User provisioning is deferred, we create a Team board with Items representing team members and use item links from Work Orders to the Team board. Owner ID resolution is validated before any record import that depends on assignment.
| Markate | monday CRM | Compatibility | |
|---|---|---|---|
| Customer | Contact (CRM Board)1:1 | Fully supported | |
| Customer | Company (CRM Board)1:1 | Fully supported | |
| Item | Product (Price Book or custom Item Board)1:1 | Fully supported | |
| Category | Group (on Products Board)lossy | Fully supported | |
| Work Order | Item (custom Work Orders Board)1:1 | Fully supported | |
| Estimate | Deal or Item (custom Estimates Board)1:1 | Fully supported | |
| Invoice | Deal (CRM Board) or Item (custom Invoices Board)1:1 | Fully supported | |
| Expense | Item (custom Expenses Board)1:1 | Fully supported | |
| Team Member | User or Item (custom Team 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.
Markate gotchas
No duplicate checking during CSV import
Import cannot be reversed
Custom fields and attachments are excluded from exports
No public API for automated migration tooling
Support hours limited to business days only
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 source data audit
We export CSV files from Markate's Data Migration tool for each supported object type: Customers, Items and Categories, Estimates, Work Orders, and Invoices. We count records, identify field headers, and flag any records missing required fields (customer email, estimate status, work order status). We also identify any custom fields defined in Markate that are absent from the CSV exports and document them as manual-recreate items. The customer confirms which Markate object types have live data and which are empty or deprecated.
Monday.com workspace design and custom column schema
We design the Monday.com board structure before any data loads. This includes creating a CRM board with Contact and Company entities (Pro plan required), a Products board with Item records and Category groups, a Work Orders board with custom columns matching Markate's work order schema, an Estimates board, and an Invoices board. We define custom column types (status, date, number, link to item, person, etc.) for each board, configure status values to match Markate's status vocabulary, and set up any board-level automations that the customer wants as a baseline. The schema design is reviewed and approved by the customer before data preparation begins.
CSV cleaning, transformation, and deduplication
We transform each Markate CSV into Monday.com-ready format by mapping column headers, reordering fields to match Monday.com import templates, encoding status values to match the Monday.com status column configuration, and formatting dates to ISO 8601. We run a pre-flight duplicate analysis using email address (primary), phone number (secondary), and name matching to identify records that would create duplicates in Monday.com. The deduplication report is presented to the customer, who confirms which records to merge or discard. Only after written approval do we proceed to import.
Dependency-ordered import and partial validation
We import in dependency order: Categories first (for Item group assignments), then Items (referencing Categories), then Customers and Companies (since all downstream objects reference a customer), then Estimates, Work Orders, and Invoices (referencing Customers, Items, and team members). Each object type is imported as a partial batch (50-100 records) first to validate that the column mapping is correct and that status values are rendering as expected in Monday.com. We verify that linked records (customer references on Work Orders, item references on Invoices) resolve correctly before running the full batch import.
Cutover, final validation, and automation handoff
We freeze writes in Markate during the cutover window, run a final delta export to capture any records modified during migration, and apply the supplemental import. We verify row counts in Monday.com against the source CSV totals for each object type and spot-check 20-30 records per object for field-level accuracy. We deliver a written handoff document listing any custom fields that could not migrate, any attachments requiring manual re-upload, and the automation inventory with Monday.com equivalents. We do not rebuild automations or configure integrations inside the migration scope.
Platform deep dives
Markate
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a manual workaround.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Markate and monday CRM.
Object compatibility
1 of 8 objects need a manual workaround.
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
Markate: Not publicly documented — no public API exists.
Data volume sensitivity
Markate 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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