CRM migration
Field-level mapping, validation, and rollback between Groundhogg and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Groundhogg
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
9 of 12
objects map 1:1 between Groundhogg and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
2-4 weeks
Overview
Groundhogg to Microsoft Microsoft Dynamics 365 Sales is a migration from a WordPress plugin to an enterprise SaaS CRM deeply integrated with the Microsoft 365 ecosystem. Groundhogg stores contacts, companies, tags, and activity history in a WordPress-centric data model where owner attribution uses WP user IDs; we remap these to Azure Active Directory email addresses during scoping so ownership survives the transition. Groundhogg's Flows and Tracks cannot be exported as logic and must be documented for manual rebuild in Microsoft Dynamics 365 Sales . We export the full activity history (email opens, link clicks, tag changes, notes) and create timestamped entries in the Dynamics timeline so engagement records are not flattened. Microsoft Dynamics 365 Sales uses the Dataverse data layer and Microsoft Dataverse REST API with its own rate limits, which requires batch chunking and parent-record resolution different from Groundhogg's REST API approach. We do not migrate Flows, Tracks, or Broadcasts as automation code; we deliver a written Flow Audit and Track documentation so your admin rebuilds them in Dynamics Sales.
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.
Source platform
Groundhogg platform overview
Scorecard, SWOT, gotchas, and pricing for Groundhogg.
Destination platform
Microsoft Dynamics 365 Sales platform overview
Scorecard, SWOT, gotchas, and pricing for Microsoft Dynamics 365 Sales .
Data migration guide
The complete Microsoft Dynamics 365 Sales migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Microsoft Dynamics 365 Sales migration checklist
Pre- and post-cutover tasks for moving onto Microsoft Dynamics 365 Sales .
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 Microsoft Dynamics 365 Sales , including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Groundhogg
Contact
Microsoft Dynamics 365 Sales
Contact
1:1Groundhogg Contact records map to Microsoft Dynamics 365 Sales Contact. Standard properties (email, firstname, lastname, phone, address) map directly to Dataverse Contact fields. Custom fields export from Groundhogg's REST API as key-value pairs and are pre-created as Dataverse custom fields before import. Contacts must be imported before any object that holds a Contact lookup reference.
Groundhogg
Contact
Microsoft Dynamics 365 Sales
Lead
1:manyIf Groundhogg contacts include a mix of prospect and customer lifecycle stages, we split by a defined criteria during scoping. Groundhogg contacts flagged as prospects with no associated Deal map to Lead; contacts attached to Deals or with a customer lifecycle stage map to Contact. The split criteria is documented and approved during discovery before migration begins.
Groundhogg
Company
Microsoft Dynamics 365 Sales
Account
1:1Groundhogg Companies (Plus tier and above) map to Microsoft Dynamics 365 Sales Account. Company name becomes Account Name; address fields map to Address fields on Account. We link each Contact to its parent Account during import by matching Company name or a Groundhogg company_id if present. Companies on Basic-tier Groundhogg instances are audited before export because the feature may have been used via legacy entitlement rather than an active plan.
Groundhogg
Tag
Microsoft Dynamics 365 Sales
Multi-Select Picklist or Topic
lossyGroundhogg tags are a flat taxonomy stored as a comma-separated list on each Contact. Tags export as a full distinct list during discovery. We map tags to a Dynamics 365 multi-select picklist field on Contact or to Topics with TopicAssignment records, depending on whether tags represent contact classification or content categorization. The customer chooses tag strategy during scoping.
Groundhogg
Deal
Microsoft Dynamics 365 Sales
Opportunity
1:1Groundhogg Deals (Pro tier and above) map to Microsoft Dynamics 365 Sales Opportunity. Deal name becomes Opportunity Name; Deal value maps to Amount; stage name maps to a Dynamics Sales Process stage. If the customer has multiple Groundhogg pipelines, each becomes a Dynamics Opportunity Record Type with its own Sales Process whitelisting the relevant stage values.
Groundhogg
Pipeline Stage
Microsoft Dynamics 365 Sales
Opportunity Stage
lossyGroundhogg pipeline stages export with stage names and display order. We configure corresponding Dynamics Sales Process stages before migration, mapping probability percentages from Groundhogg to the Stage Probability field. Visual pipeline layout does not migrate; we document the stage order and names for the customer's admin to configure in Dynamics.
Groundhogg
User (Owner)
Microsoft Dynamics 365 Sales
User
1:1Groundhogg maps owners via WordPress user IDs. We export WP user email addresses and match them against the destination Dynamics 365 organization's Azure Active Directory users. Any Owner without a matching Azure AD user goes to a reconciliation queue for the customer's admin to provision before record import. Migration cannot proceed past Contact and Opportunity import until all OwnerId references are resolved because Dynamics enforces referential integrity on OwnerId.
Groundhogg
Activity History
Microsoft Dynamics 365 Sales
Activity (Task, Email, Phone Call)
1:1Groundhogg activity logs (email opens, link clicks, form submissions, tag applied/removed) export per Contact with timestamps. We create corresponding Dynamics Activity records: email opens as Email with date; link clicks as Task with subject and timestamp; form submissions as Note or Task. Activity ordering is preserved by setting the ActualEnd or ScheduledEnd date to the original Groundhogg timestamp. Large activity volumes use Dataverse Bulk API with batch chunking.
Groundhogg
Note
Microsoft Dynamics 365 Sales
Annotation (Note)
1:1Groundhogg contact-level notes export with body text, author attribution, and creation timestamp. Notes map to Dynamics 365 Annotation records linked via regarding_objectid to the Contact or Account. Author attribution maps from the Groundhogg WP user email to the Dynamics User lookup on the Annotation.
Groundhogg
Custom Field
Microsoft Dynamics 365 Sales
Custom Field
1:1Groundhogg custom fields on Contact, Company, and Deal records export with field type information (text, number, date, dropdown). We pre-create corresponding Dataverse custom fields in the destination Dynamics 365 environment before data import. Dropdown and choice-type custom fields require a value mapping table to translate Groundhogg option labels to Dynamics option set values.
Groundhogg
Flow (Automation Sequence)
Microsoft Dynamics 365 Sales
Power Automate Flow / Workflow documentation
1:1Groundhogg Flows cannot be exported as automation logic via the REST API. We run a Flow Audit step during discovery: we export trigger type, step count, step names, and step action descriptions for every active Flow. This documentation is delivered as a written inventory with a recommended Power Automate or Dynamics Workflow equivalent for each Flow. The customer's admin rebuilds Flows post-migration.
Groundhogg
Broadcast
Microsoft Dynamics 365 Sales
Email (metadata documentation)
1:1Groundhogg broadcast emails export with subject, send date, and recipient count metadata. Broadcast content and recipient lists do not migrate as discrete objects. Contacts who received broadcasts are flagged with a custom field or tag indicating broadcast receipt so the customer's admin can re-segment in Dynamics. We document broadcast send history for reference.
| Groundhogg | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Contact | Lead1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Tag | Multi-Select Picklist or Topiclossy | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline Stage | Opportunity Stagelossy | Fully supported | |
| User (Owner) | User1:1 | Fully supported | |
| Activity History | Activity (Task, Email, Phone Call)1:1 | Mapping required | |
| Note | Annotation (Note)1:1 | Fully supported | |
| Custom Field | Custom Field1:1 | Fully supported | |
| Flow (Automation Sequence) | Power Automate Flow / Workflow documentation1:1 | Fully supported | |
| Broadcast | Email (metadata documentation)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.
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
Microsoft Dynamics 365 Sales gotchas
Professional tier 15-table custom table limit blocks migrations
October 2024 pricing increase applies at renewal for all customers
Custom fields must be created in the UI before API writes
Power Platform request limits apply to bulk migrations
Activity records orphaned to inactive owners fail silently
Pair-specific challenges
Migration approach
Discovery and Groundhogg tier verification
We audit the source Groundhogg instance across the active plan tier (Basic/Plus/Pro/Agency), the contact count, Company and Deal existence, active Flow count, tag taxonomy, custom field schema, and activity log volume. We check the WordPress hosting environment for API rate limit constraints from the host, CDN, or security plugins. We extract the distinct owner list and begin Azure AD user matching. The discovery output is a written migration scope document with a record-count projection, a preliminary object mapping, and a Flow Audit inventory request sent to the customer.
Flow Audit and automation documentation
We run the Flow Audit step: for every active Groundhogg Flow, we document the trigger type (e.g., form submitted, tag applied, date-based), step count, step names, and a description of each step's action. For Tracks (Agency tier), we document the funnel name, stage names, and conversion logic as described by the customer during scoping. This documentation is compiled into a written Automation Rebuild Guide with recommended Power Automate or Dynamics Workflow equivalents for each Flow. We deliver this guide before cutover so the customer's admin can begin rebuild planning in parallel.
Dynamics 365 schema preparation
We pre-create the Dataverse schema in the destination Microsoft Dynamics 365 Sales environment before any data import. This includes provisioning custom fields on Contact, Account, and Opportunity (matching Groundhogg custom field names and types), configuring Sales Processes and Opportunity Stage values, setting up Record Types per Groundhogg pipeline if multiple pipelines exist, and creating the Azure AD User lookup table for Owner resolution. Schema is validated in the destination environment before production migration begins.
Owner reconciliation and Azure AD user provisioning
We match every distinct Groundhogg owner against the destination Dynamics 365 organization's Azure Active Directory users by email address. Owners without a matching Azure AD user are listed in a reconciliation report with the customer's admin responsible for provisioning the missing users or marking them as inactive in the destination. Migration cannot proceed past Contact and Opportunity import until all OwnerId references are resolved because Dataverse enforces referential integrity on owner lookups.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Groundhogg Companies), Contacts (with AccountId and OwnerId resolved), Leads (if split applies), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Activity history (Notes, Tasks, Email records via Dataverse Bulk API with batch chunking), then Custom Fields and tag-based picklist values. Each phase emits a row-count reconciliation report before the next phase begins. We apply delta migration for any records modified during the cutover window.
Cutover, validation, and automation rebuild handoff
We freeze Groundhogg writes during the cutover window, run a final delta migration of any records modified during the migration window, then enable Microsoft Dynamics 365 Sales as the system of record. We deliver the Automation Rebuild Guide to the customer's admin team with the Flow inventory and recommended Power Automate equivalents. We support a one-week hypercare window for reconciliation issues. We do not rebuild Groundhogg Flows as Power Automate flows inside migration scope; that work is a separate engagement or internal admin task.
Platform deep dives
Groundhogg
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
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 Microsoft Dynamics 365 Sales .
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
Pick a category, then your source and destination platforms.
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FAQ
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