CRM migration
Field-level mapping, validation, and rollback between Groundhogg and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Groundhogg
Source
monday CRM
Destination
Compatibility
6 of 9
objects map 1:1 between Groundhogg and monday CRM.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Groundhogg to Monday.com CRM is a structural migration from a WordPress-native marketing automation plugin to a board-based work OS with CRM capabilities. Groundhogg stores contacts, companies, tags, and custom fields in the WordPress database; Monday.com CRM represents these as Items on Boards with typed Columns. We extract Groundhogg data via its REST API, transform the record model to match Monday's item-board structure, and import through Monday's native API with duplicate detection. Groundhogg Flows and Tracks cannot export as automation logic and are documented for rebuild in Monday's Automations framework. Broadcast emails, activity history, and notes migrate as-is; email scheduling within Monday CRM is not available natively and requires an external integration that we flag during scoping.
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 Groundhogg 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.
Groundhogg
Contact
monday CRM
Person Item on CRM Board
1:1Groundhogg Contacts map to Monday.com CRM Person items. We export all standard contact properties (email, first/last name, phone, address) via the Groundhogg REST API and create Person items in the CRM board with matching column values. Email serves as the dedupe key. Custom fields map to Monday.com Columns with type-matching (text to Text Column, date to Date Column, checkbox to Checkbox Column). Tags export as a comma-separated list applied to a Tags Column or as Labels on the item.
Groundhogg
Company
monday CRM
Company Item on CRM Board
1:1Groundhogg Company records (Plus tier and above) map to Monday.com Company items in the CRM. We link each Company item to its associated Contact Person items using Monday.com's built-in People Column. Company name, address, and phone migrate to the corresponding Company item columns. If the customer is on Basic tier without Companies enabled, we skip this object but flag any contact records with a company affiliation for manual enrichment.
Groundhogg
Deal
monday CRM
Deal Item on Deals Board
1:1Groundhogg Deals (Pro tier and above) map to Monday.com Deal items on the CRM Deals Board. The deal name, value, stage, and owner migrate directly. Groundhogg pipeline stages map to Monday.com Group labels on the Deals Board, and deal values map to the native Money Column. Owner email from Groundhogg resolves to a Monday.com team member; any unresolved owners go to a reconciliation queue.
Groundhogg
Tag
monday CRM
Labels or Tags Column
lossyGroundhogg tags are a flat taxonomy applied to contacts. We export all tags and apply them as Monday.com Labels on Person items or as a comma-separated Tags Column value. Tags do not carry hierarchy information. During scoping, we determine whether labels or column values best fit the customer's segmentation needs. If the customer uses tags for lead scoring or segmentation, we recommend creating a separate numeric column in Monday.com rather than relying on labels alone.
Groundhogg
Custom Field
monday CRM
Typed Column
lossyGroundhogg custom properties on contacts migrate to Monday.com Columns on the CRM board. We match Groundhogg field types to Monday.com column types: text fields to Text Column, dates to Date Column, numbers to Numbers Column, dropdown choices to Dropdown Column, and checkboxes to Checkbox Column. Multi-select or multi-checkbox fields map to Tags Column. Monday.com has a fixed set of column types, so any Groundhogg field that cannot be typed directly becomes a Text Column with the value serialized as a string.
Groundhogg
Activity History
monday CRM
Updates and Activity Column
1:1Groundhogg activity logs (email opens, link clicks, form submissions, tag applied/removed) are exported as a per-contact activity feed. We create timestamped Updates on each Person item in Monday.com CRM using the activity type as the update text and the original Groundhogg timestamp as the update date. This preserves the chronological engagement history against the contact record. Note that Monday.com's Updates feed is chronological but not queryable via API filters like a standard CRM activity object.
Groundhogg
Note
monday CRM
Update on Person Item
1:1Groundhogg contact-level notes migrate as Updates on the corresponding Monday.com Person item. Each note's body, timestamp, and author attribution are preserved. We map the Groundhogg author email to a Monday.com team member if an account exists; otherwise the note text carries the author name as a prefix. Notes do not become separate items in Monday.com; they attach to the Person item as updates.
Groundhogg
Flow (Automation Sequence)
monday CRM
Automation Documentation
lossyGroundhogg Flows cannot be exported as automation logic. We run a Flow Audit step during scoping: we extract the trigger type, step count, step names, and conditional logic for each active Flow and document it in a written report. The report maps each Flow to a recommended Monday.com Automation equivalent with triggers, conditions, and actions specified. The customer's admin rebuilds the automations in Monday.com using our documentation as the blueprint. We do not migrate Flows as executable code.
Groundhogg
Owner (WP User)
monday CRM
Team Member
1:1Groundhogg maps record owners via WordPress user IDs. We export WP user email addresses and map them to Monday.com Team Members by email lookup. Owners without a matching Monday.com account go to a reconciliation queue for the customer's admin to provision before record import begins. Owner assignment on Deals maps to the Deal item's Owner Column in Monday.com.
| Groundhogg | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | Person Item on CRM Board1:1 | Fully supported | |
| Company | Company Item on CRM Board1:1 | Fully supported | |
| Deal | Deal Item on Deals Board1:1 | Fully supported | |
| Tag | Labels or Tags Columnlossy | Fully supported | |
| Custom Field | Typed Columnlossy | Fully supported | |
| Activity History | Updates and Activity Column1:1 | Mapping required | |
| Note | Update on Person Item1:1 | Fully supported | |
| Flow (Automation Sequence) | Automation Documentationlossy | Fully supported | |
| Owner (WP User) | Team Member1:1 | 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.
Groundhogg gotchas
Email deliverability is fully self-hosted
Automation flows do not export as logic
API rate limits are host-dependent, not Groundhogg-enforced
Feature availability is tier-dependent and affects what we export
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 plan audit
We audit the source Groundhogg installation across active plan tier, contact volume, company volume (if Plus+), deal volume (if Pro+), custom field schema, active tag taxonomy, active Flows, and engagement log volume. We verify the customer's target Monday.com CRM plan during scoping to confirm column type limits, automation action quotas, and board item limits. The discovery output is a written migration scope with record counts per object, a list of custom fields requiring column type matching, and a Flow audit summary documenting each automation for rebuild.
Board structure design in Monday.com
We design the Monday.com CRM board structure before any data moves. This includes creating the CRM Board with Person items, configuring the column schema to match Groundhogg's custom field types, designing the Deals Board with Group labels mapped to Groundhogg pipeline stages, and setting up the Company Board (if applicable). We create the board structure in the customer's Monday.com workspace using the API and validate that the column types accept the source data formats before export begins. Any field without a direct Monday.com column type equivalent is documented with a serialization approach.
Source data export and deduplication
We export Groundhogg records via the REST API in batched requests, throttled to avoid host-layer rate limits. Contacts export with all standard and custom properties. Companies, Deals, Notes, and Activity History export in separate batches. We run a deduplication pass on contacts using email as the primary key, merging duplicates before import. Tags are extracted as a flat list and prepared for application as Labels or a Tags Column on each Person item.
Sandbox validation and mapping sign-off
We run a pilot migration using a subset of records (typically 500-1,000 contacts) into the customer's Monday.com workspace to validate the column mapping, label application, and owner resolution. The customer's admin reviews the pilot items in Monday.com and confirms the mapping before full production migration. Any column type mismatches, truncated values, or mapping errors are corrected in the transform script before the production run.
Production migration in dependency order
We run production migration in record-dependency order: Person items (from Contacts) first with tags and custom fields, then Company items (from Companies), then Deal items (from Deals) with owner resolution. Activity history and Notes append as Updates to each Person item after the base records are created. Groundhogg Flows are documented in the Flow Audit report delivered alongside the migration. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation handoff
We freeze Groundhogg writes during the cutover window, run a delta migration for any records modified during the migration period, then enable Monday.com CRM as the system of record. We deliver the Flow Audit report and Automation Inventory document to the customer's admin team with Monday.com Automations equivalents. We support a five-business-day hypercare window for reconciliation issues. We do not rebuild Groundhogg Flows as Monday.com Automations inside the migration scope; that work is handled by the customer's admin using our documentation.
Platform deep dives
Groundhogg
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Groundhogg and monday CRM.
Object compatibility
1 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
Groundhogg: Not enforced by Groundhogg; governed by host, CDN, or security plugin limits.
Data volume sensitivity
Groundhogg 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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FAQ
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