CRM migration

Migrate from Groundhogg to monday CRM

Field-level mapping, validation, and rollback between Groundhogg and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.

Groundhogg logo

Groundhogg

Source

monday CRM

Destination

monday CRM logo

Compatibility

67%

6 of 9

objects map 1:1 between Groundhogg and monday CRM.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Groundhogg logo

Groundhogg

What's pushing teams away

  • Email deliverability depends entirely on the WordPress hosting environment — shared hosting with poor IP reputation can tank inbox rates with no ability to route through Groundhogg's own infrastructure.
  • Performance is hosting-bound — large contact lists and complex flows run on the same server as the WordPress site, so underpowered hosting creates slow automations and timeouts.
  • Workflow rebuild effort is significant — Flows and Tracks cannot be exported as logic and must be manually reconstructed in the new platform, making migrations time-consuming for automation-heavy accounts.
  • Support quality varies and documentation can lag behind new feature releases, leaving users without guidance on edge cases or API quirks.
  • Feature tier gating means Companies, Opportunities, and Tracks are locked behind paid upgrades, creating sticker shock when teams discover what they need costs more than the base plan.

Choosing

monday CRM logo

monday CRM

What's pulling them in

  • Users praise the board-based visual interface for making pipeline stages immediately legible to non-technical team members without CRM training.
  • The no-code automation builder lets sales ops teams create lead routing, stage updates, and email triggers without developer involvement.
  • Integration ecosystem connects to Slack, Gmail, Outlook, and Zapier with minimal configuration, reducing friction for teams already using these tools.
  • The flexible column system lets teams build custom CRM views — deal value, close date, lead source — without needing a developer or pre-defined schema.
  • Teams already using monday Work Management can layer CRM features onto existing boards rather than starting from scratch.

Object mapping

How Groundhogg objects map to monday CRM

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

maps to

monday CRM

Person Item on CRM Board

1:1
Fully supported

Groundhogg 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

maps to

monday CRM

Company Item on CRM Board

1:1
Fully supported

Groundhogg 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

maps to

monday CRM

Deal Item on Deals Board

1:1
Fully supported

Groundhogg 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

maps to

monday CRM

Labels or Tags Column

lossy
Fully supported

Groundhogg 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

maps to

monday CRM

Typed Column

lossy
Fully supported

Groundhogg 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

maps to

monday CRM

Updates and Activity Column

1:1
Mapping required

Groundhogg 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

maps to

monday CRM

Update on Person Item

1:1
Fully supported

Groundhogg 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)

maps to

monday CRM

Automation Documentation

lossy
Fully supported

Groundhogg 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)

maps to

monday CRM

Team Member

1:1
Fully supported

Groundhogg 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.

Gotchas + challenges

What specifically takes care here

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 logo

Groundhogg gotchas

High

Email deliverability is fully self-hosted

High

Automation flows do not export as logic

Medium

API rate limits are host-dependent, not Groundhogg-enforced

Medium

Feature availability is tier-dependent and affects what we export

monday CRM logo

monday CRM gotchas

High

Subitems are not included in bulk exports

High

Daily API call limits vary sharply by plan

Medium

Legacy automations (Sentence Builder) are being deprecated

Medium

Excel and account exports only include table views

Low

Enterprise admins can disable non-admin exports

Pair-specific challenges

  • Monday.com CRM has no native email scheduling or logging

    Monday.com CRM does not include built-in email scheduling, email logging, or a sales engagement cadence feature. Groundhogg's strength is email marketing automation; Monday.com's CRM layer requires external integrations (Gmail, Outlook via Zapier or native integrations) for email logging and does not support outbound email sequences natively. Teams migrating from Groundhogg expecting to replicate email nurture flows in Monday.com CRM will need a separate email marketing tool or a Zapier-based workaround. We flag this gap during scoping and document it in the migration scope so the customer's admin can plan the email tool strategy before go-live.

  • Groundhogg Flows and Tracks do not export as automation logic

    Groundhogg's Flows (multi-step automation sequences) and Tracks (visual funnels, Agency tier) cannot be exported via the REST API as reusable automation templates. We export trigger type, step count, and step names as documentation, but conditional branching, time delays, and action configurations must be manually rebuilt in Monday.com's Automations framework. We include a Flow Audit step in our migration scope to produce a written automation inventory with Monday.com equivalents. The customer's admin rebuilds automations post-migration using this documentation. We do not migrate automation logic as executable code.

  • Monday.com's board model changes how CRM data is queried and filtered

    Monday.com CRM represents contacts and deals as Items on Boards rather than as traditional relational CRM objects. This means filtering, segmentation, and reporting rely on Column values and Group labels rather than on object relationships and picklists. Teams accustomed to Groundhogg's contact-based segmentation will need to adjust their workflows to use Monday.com's Column filters and board views. We design the board structure during migration scoping, including which columns drive key filters, but the customer's admin owns the ongoing board maintenance and segmentation strategy.

  • Groundhogg API rate limits are host-dependent and can cause import stalls

    Groundhogg's REST API has no built-in rate limiting documented, but the customer's WordPress host, CDN, or security plugin (Wordfence, Sucuri) may impose HTTP request caps that return 429 errors during export. We profile the customer's hosting environment during discovery and set appropriate batch sizes and throttle rates to avoid server-layer rejection. If the host imposes strict rate limits, we split the export into smaller batches and add exponential backoff between requests, which extends the migration timeline but prevents data loss from interrupted exports.

  • Monday.com Automation action quotas vary by plan and can block high-volume triggers

    Monday.com's Automations include action quotas per board that vary by plan tier. High-volume automations (for example, triggering on every inbound form submission or every tag change across 50,000 contacts) may exceed the per-month action limit on lower tiers, causing automations to silently stop running. We review the customer's existing Groundhogg Flow trigger volumes during scoping and flag any automation that would exceed Monday.com's quota on the target plan. The customer can upgrade the plan or split automations across boards to stay within limits.

Migration approach

Six steps for a successful Groundhogg to monday CRM data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Groundhogg logo

Groundhogg

Source

Strengths

  • Fixed-price model with no per-contact or per-email billing at any tier.
  • Full REST API, webhooks, and WP-CLI available on all plans including Basic.
  • Native WordPress integration with no separate cloud login or sync layer.
  • Hundreds of hooks and filters for developer extensibility and custom extensions.
  • Agency tier supports white-labeling and template libraries for client-facing deployments.

Weaknesses

  • No built-in email infrastructure — deliverability depends entirely on the customer's hosting and DNS setup.
  • Performance scales with hosting quality — large databases or heavy automation loads can degrade on entry-level WordPress hosts.
  • Automation logic (Flows, Tracks) cannot be exported as reusable templates or migrated directly; it requires manual rebuild.
  • Feature tier gates lock Companies, Opportunities, and Tracks behind Pro and Agency plans respectively.
  • No multi-tenant SaaS option — every customer runs their own WordPress instance, meaning no shared deliverability infrastructure or managed upgrades.
monday CRM logo

monday CRM

Destination

Strengths

  • Board-based UI makes pipeline stages and deal progress visually obvious without training.
  • No-code automation builder requires no developer resources to create lead routing and stage-triggered actions.
  • Flexible column system supports custom CRM fields without schema changes or admin involvement.
  • Integrates natively with Slack, Gmail, Outlook, and Zapier with minimal configuration overhead.
  • Layered product means teams already on monday Work Management can add CRM without migrating existing data.

Weaknesses

  • No native Contacts object separate from Items — contacts are managed inside a CRM module's People feature.
  • Pipeline and deal relationships use a flat item model rather than a relational object model, making complex CRM associations awkward.
  • Automations are plan-gated (250 actions/month on Standard, 25,000 on Pro) and the legacy Recipe system is being deprecated.
  • Customization and advanced views (Chart, Formula, Dependency) are locked behind Pro and Enterprise tiers.
  • Per-seat pricing with non-refundable annual billing creates cost lock-in risk during migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Groundhogg and monday CRM.

  • Object compatibility

    B

    1 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Groundhogg: Not enforced by Groundhogg; governed by host, CDN, or security plugin limits.

  • Data volume sensitivity

    B

    Groundhogg doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Groundhogg to monday CRM migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Groundhogg to monday CRM data migrations

Answers to the questions buyers ask most during Groundhogg to monday CRM migration scoping. Not seeing yours? Book a call.

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Most migrations land between two and four weeks for accounts under 10,000 Contacts with no custom objects and a straightforward tag taxonomy. Migrations with custom objects, large engagement histories (over 50,000 activity log entries), multiple Groundhogg pipelines, or complex tag taxonomies move to five to nine weeks because of Monday.com API rate limit handling, board structure design, and the Flow audit documentation work. Discovery and scoping adds one to two weeks regardless of size.

Adjacent paths

Related migrations to explore

Ready when you are

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