CRM migration

Migrate from Grow CRM to Microsoft Dynamics 365 Sales

Field-level mapping, validation, and rollback between Grow CRM and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .

Grow CRM logo

Grow CRM

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

64%

7 of 11

objects map 1:1 between Grow CRM and Microsoft Dynamics 365 Sales .

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Grow CRM to Microsoft Microsoft Dynamics 365 Sales is a migration from a self-hosted, CodeCanyon-licensed platform with no public API to a cloud-native, enterprise CRM with full REST and Bulk API access. Grow CRM exports are CSV-based or database-direct for self-hosted instances, which constrains migration to batch operations rather than real-time sync. We resolve this by extracting via Grow CRM's built-in CSV export for SaaS instances or direct database read access for self-hosted deployments during scoping, then loading into Microsoft Dynamics 365 Sales via the Dataverse REST API with batch chunking and parent-record lookup resolution. Grow CRM's Leads and Opportunities both map to distinct Dynamics 365 objects, and Grow CRM's flat tag taxonomy maps to multi-select picklists on the corresponding records. Custom fields on Grow CRM Tasks and Clients are extracted from the source schema and pre-created in Dynamics 365 before any import batch runs. We do not migrate Grow CRM's Client Portal access records, automations, or project management objects as part of standard scope.

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

Grow CRM logo

Grow CRM

What's pushing teams away

  • The CodeCanyon licensing model means self-hosted instances are responsible for their own updates, backups, and server maintenance — a burden many small teams underestimate.
  • Limited enterprise-grade features compared to HubSpot or Salesforce; teams outgrow the platform's reporting, automation depth, and integration ecosystem as they scale.
  • The interface and UX lag behind modern SaaS CRMs, with fewer design refinements and a more utilitarian feel that frustrates users accustomed to contemporary UI standards.
  • Grow CRM's plugin ecosystem and third-party integrations are thin, making it difficult to connect to the broader tool stack growing businesses accumulate.

Choosing

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

What's pulling them in

  • Deep Microsoft 365, Teams, and Outlook integration makes Microsoft Dynamics 365 Sales a natural fit for Microsoft-first organizations already invested in that ecosystem
  • Sales Enterprise and Premium tiers offer unlimited custom tables and advanced AI-driven forecasting and predictive analytics not available in lower tiers
  • Professional tier pricing at $65 per user per month offers a lower entry cost than Salesforce for SMB teams with straightforward CRM needs
  • Flexible customization options allow businesses to build bespoke apps, tailor forms and views, and integrate with other Dynamics 365 modules
  • Microsoft Copilot AI tools are embedded directly into the sales workflow on Enterprise and Premium, automating routine tasks and providing deal intelligence

Object mapping

How Grow CRM objects map to Microsoft Dynamics 365 Sales

Each row shows how a Grow CRM 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.

Grow CRM

Contact

maps to

Microsoft Dynamics 365 Sales

Lead or Contact (split required)

1:many
Fully supported

Grow CRM's Contact object holds all person records including those that would be classified as Leads in Microsoft Dynamics 365 Sales . We split contacts at migration time using Grow CRM's contact status field: contacts with status 'Lead' or no pipeline assignment map to Salesforce Lead; contacts attached to a Grow CRM Company or Opportunity map to Dynamics 365 Contact linked to an Account. The original Grow CRM contact status is preserved in a custom field gcl_crm_status__c on both Lead and Contact for audit and reporting continuity.

Grow CRM

Company

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

Grow CRM Company records map directly to Microsoft Microsoft Dynamics 365 Sales Account. Company name becomes the Account Name field, and the website domain is mapped to Account Website. We use company name as the dedupe key during import. Account is inserted before Contact to satisfy the parent AccountId lookup that attaches Contacts to the business entity.

Grow CRM

Lead

maps to

Microsoft Dynamics 365 Sales

Lead

1:1
Fully supported

Grow CRM Lead records (a distinct object from Contact in Grow CRM) map directly to Microsoft Microsoft Dynamics 365 Sales Lead. Lead status, source, and owner assignment fields migrate to their Dynamics equivalents. Any Grow CRM lead score value is preserved in a custom field gcl_lead_score__c on the Dynamics Lead.

Grow CRM

Opportunity

maps to

Microsoft Dynamics 365 Sales

Opportunity

1:1
Fully supported

Grow CRM Opportunity records map to Microsoft Dynamics 365 Sales Opportunity. The pipeline stage name from Grow CRM is mapped to a Microsoft Dynamics 365 Sales Process stage value, and the pipeline identifier maps to a Record Type. Deal value, expected close date, probability (if set in Grow CRM), owner assignment, and the linked Contact and Company all transfer. Grow CRM's pipeline stage order is preserved by configuring the Sales Process stage sequence before migration runs.

Grow CRM

Task

maps to

Microsoft Dynamics 365 Sales

Task

1:1
Fully supported

Grow CRM Task records migrate to Microsoft Dynamics 365 Sales Task. Task title, description, due date, status, priority, and owner assignment transfer directly. Grow CRM custom fields on Tasks require schema extraction from the source instance during scoping; we pre-create matching custom fields in Dynamics 365 before the Task import batch. Task assignment resolves the Grow CRM owner to a Dynamics 365 User by email match.

Grow CRM

Invoice

maps to

Microsoft Dynamics 365 Sales

Order or custom Invoice entity

lossy
Fully supported

Grow CRM Invoices with line items, totals, tax, payment status, and client linkage migrate to Microsoft Dynamics 365 Sales Order records in the base tier, or to a custom Invoice entity built in Dataverse if the customer needs full invoice history preserved as a read-only record. Historical paid invoices are migrated as closed Orders; open invoices are migrated as open Orders awaiting fulfillment. The client Contact linkage is resolved at import time via the Contact-to-Account mapping.

Grow CRM

Estimate

maps to

Microsoft Dynamics 365 Sales

Quote

1:1
Fully supported

Grow CRM Estimates (quotes with line items, validity dates, and status) map to Microsoft Microsoft Dynamics 365 Sales Quote. Quote status, expiration date, total amount, and line items transfer. If the customer has licensed Dynamics 365 Business Central alongside Sales, Quotes can be linked to Sales Orders for a full quote-to-cash flow. We flag this configuration decision during scoping.

Grow CRM

Help Desk Ticket

maps to

Microsoft Dynamics 365 Sales

Case

1:1
Fully supported

Grow CRM Help Desk Ticket records migrate to Microsoft Microsoft Dynamics 365 Sales Case (or Dynamics 365 Customer Service Case if the customer has licensed that module). Ticket priority, status, assignee, and conversation history transfer. Ticket conversation threads are exported from Grow CRM as plain text and imported as a Note or EmailMessage record attached to the Case for a complete support history.

Grow CRM

Tag

maps to

Microsoft Dynamics 365 Sales

Multi-Select Picklist

lossy
Fully supported

Grow CRM tags on Contacts, Companies, and Opportunities are stored as comma-separated values or array fields in the export. We normalise tag values during the transform step and write them to a custom multi-select picklist field gcl_tags__c on the corresponding Dynamics 365 object. The customer chooses during scoping whether tags should be preserved as a flat multi-select or consolidated into a subset of meaningful values to keep the picklist manageable.

Grow CRM

Custom Field (Tasks, Clients)

maps to

Microsoft Dynamics 365 Sales

Custom Field

lossy
Fully supported

Grow CRM custom fields on Tasks and Clients (the only objects that support custom fields in Grow CRM) are not included in the standard CSV export. We extract the field definitions — name, data type, and option values — from the Grow CRM UI or database during scoping and document them as a schema specification. We pre-create matching custom fields in Dynamics 365 before the data import runs, preventing import failures caused by missing target fields. This step is manual and required before any import batch begins.

Grow CRM

User

maps to

Microsoft Dynamics 365 Sales

User

1:1
Fully supported

Grow CRM team member records map to Microsoft Microsoft Dynamics 365 Sales User by email address. We extract every distinct owner referenced on Contacts, Companies, Opportunities, Tasks, and Tickets and match against the destination User table. Any Grow CRM owner without a matching Dynamics 365 User is placed in a reconciliation queue and the customer's admin provisions the missing User before the relevant import phase resumes.

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.

Grow CRM logo

Grow CRM gotchas

High

No public API means all data extraction is CSV-based

Medium

Self-hosted instances lack automatic updates

Medium

Custom fields require manual schema reconstruction

High

Client portal access records are not migratable

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales gotchas

High

Professional tier 15-table custom table limit blocks migrations

High

October 2024 pricing increase applies at renewal for all customers

Medium

Custom fields must be created in the UI before API writes

Medium

Power Platform request limits apply to bulk migrations

Medium

Activity records orphaned to inactive owners fail silently

Pair-specific challenges

  • Grow CRM has no public API — all extraction is CSV or database-direct

    Grow CRM does not expose a REST API for programmatic data access. All data extraction uses the built-in CSV export function for SaaS instances or direct database read queries for self-hosted instances. This constrains migration to batch operations rather than incremental API-driven sync, and introduces a hard cutoff at export time — any records created or modified between the export and the import window are not automatically captured. We mitigate this by minimising the export-to-import window and running a delta reconciliation step at cutover. Teams expecting real-time or near-real-time sync during migration should be aware this is not possible with Grow CRM as the source.

  • Grow CRM custom field definitions are not included in CSV exports

    Grow CRM allows custom fields on Clients and Tasks, but the custom field schema (field name, type, and picklist options) is not included in the standard CSV export. We extract the schema from the Grow CRM UI or database during scoping and document it as a schema specification. We then pre-create the matching custom fields in Dynamics 365 before any data import begins. This schema reconstruction step is manual and adds one to two days to the discovery phase. Skipping it results in import failures for any record that references a custom field not yet created in the destination.

  • Client portal access records cannot be migrated

    Grow CRM's client portal credentials, login history, and portal access status are not included in any export format. Contacts that had portal access must be re-invited in the new system. We flag all contacts with a gcl_portal_access__c note in the migration scoping report so the customer can run a bulk re-invite after cutover. This is a Grow CRM data model limitation with no workaround without direct database access to the portal authentication tables, which are outside the scope of standard migration tooling.

  • Grow CRM pipeline stages require explicit mapping to Microsoft Dynamics 365 Sales Processes

    Grow CRM pipeline stages use free-text naming conventions set by the customer, with no enforced stage probability or order. Microsoft Microsoft Dynamics 365 Sales uses Sales Processes with ordered stage values and probability percentages. We extract the full Grow CRM pipeline stage list during scoping and create a corresponding Microsoft Dynamics 365 Sales Process with stages mapped by name and ordered by position. Stage probability values do not exist in Grow CRM and must be provided by the customer or estimated based on historical close rates; we flag this gap in the discovery questionnaire.

  • Self-hosted Grow CRM instances may run outdated database schemas

    Grow CRM self-hosted instances are responsible for their own software updates. Older versions of Grow CRM use different database schemas, which affects the structure of any direct database export. We verify the source instance version during scoping and apply schema reconciliation steps before exporting data. Any direct database query we run against a self-hosted instance requires read-only database credentials and a brief server access window coordinated with the customer's IT administrator. This adds one to two days of coordination overhead that does not apply to SaaS-based Grow CRM exports.

Migration approach

Six steps for a successful Grow CRM to Microsoft Dynamics 365 Sales data migration

  1. Discovery and instance assessment

    We determine whether the source is a Grow CRM self-hosted (CodeCanyon) instance or the managed SaaS version, as this determines the extraction method. For self-hosted, we request read-only database credentials and a brief access window. For SaaS, we use the built-in CSV export function. We audit all standard objects (Contacts, Companies, Leads, Opportunities, Tasks, Invoices, Estimates, Help Desk Tickets), custom field definitions on Tasks and Clients, tag taxonomy, owner list, and pipeline stage names. We deliver a written migration scope document that lists every object, estimated row counts, any schema gaps (such as missing probability values on Opportunities), and a decision checklist for the Lead-Contact split rule.

  2. Schema design in Dynamics 365

    We design the destination schema in Microsoft Microsoft Dynamics 365 Sales . This includes configuring the Sales Process and stage values that correspond to Grow CRM pipeline stages, creating Record Types if the customer uses multiple pipelines, pre-creating any custom fields (extracted from the Grow CRM schema in Step 1) on the appropriate entities, and defining the Lead-Contact split rule based on the customer's Grow CRM contact status matrix. The schema is deployed into a Dynamics 365 Sandbox environment first for validation before production migration begins.

  3. Sandbox migration and reconciliation

    We run a full migration into the Dynamics 365 Sandbox using production-like data volumes. The customer reconciles record counts (Contacts in, Leads in, Accounts in, Opportunities in, Activities in), spot-checks fifteen to thirty records against the source Grow CRM instance, and approves the schema and mapping before production cutover begins. Any field-level mapping corrections, missing stage probabilities, or tag taxonomy decisions happen in this phase rather than in production. Sandbox migration typically takes two to four business days for long-tail data volumes.

  4. Owner reconciliation and User provisioning

    We extract every distinct Grow CRM owner referenced across Contacts, Companies, Opportunities, Tasks, and Tickets and match them by email against the Dynamics 365 destination User table. Any Grow CRM owner without a matching Dynamics 365 User is placed in a reconciliation queue, and the customer's Dynamics 365 administrator provisions the missing Users. OwnerId references must be valid at import time for most standard objects, so this step is a hard gate before the production migration phase begins.

  5. Production migration in dependency order

    We run the production migration in record-dependency order to satisfy lookup constraints: Accounts (from Grow CRM Companies), Leads (with contact status split applied), Contacts (with AccountId resolved), Opportunities (with AccountId, OwnerId, and Sales Process resolved), Tasks (with OwnerId resolved and custom fields pre-populated), Activity history, Help Desk Tickets (as Case records), Estimates (as Quote records), Invoices (as Order or custom entity records), and Tags (as multi-select picklist values). Each phase emits a row-count reconciliation report before the next phase begins. The CSV-based source extraction means we process records in fixed batches rather than with the parallel chunking possible when both source and destination support API-driven sync.

  6. Cutover, validation, and handoff

    We freeze writes in Grow CRM during the final cutover window, run a delta migration of any records created or modified since the main export, and switch the customer's system of record to Microsoft Dynamics 365 Sales . We deliver a migration summary report with record counts per object, any records that failed import with error reasons, and the list of contacts flagged as having had Grow CRM portal access for post-migration re-invite. We do not rebuild Grow CRM automations as Dynamics 365 workflows; those are documented as a separate rebuild task for the customer's admin team.

Platform deep dives

Context on both ends of the pair

Grow CRM logo

Grow CRM

Source

Strengths

  • One-time purchase eliminates ongoing per-user subscription costs — total cost of ownership is lower for small teams over multi-year horizons.
  • Self-hosted deployment gives full data ownership and server control, important for teams with strict data residency or privacy requirements.
  • Includes CRM, project management, invoicing, and help desk in a single application, reducing tool sprawl for small agencies and service businesses.
  • Stripe and PayPal payment integration is built in, enabling invoice-to-payment workflows without third-party connectors.
  • Offers both a standard self-hosted version and a managed SaaS version, giving teams a migration path if they outgrow self-hosting.

Weaknesses

  • No publicly documented API for programmatic data access — all export and import relies on CSV/manual methods or paid migration services, limiting automation options.
  • Self-hosted version requires manual software updates, server maintenance, and backups; small teams often lack the internal IT capacity to sustain this reliably.
  • Thin integration ecosystem compared to major CRMs; no native Zapier/Make connectors and limited third-party app availability in the CodeCanyon plugin ecosystem.
  • Reporting and analytics are basic compared to modern BI-integrated CRMs; teams that need deep pipeline analytics often outgrow Grow CRM's built-in dashboards.
  • The platform has a smaller user community and fewer online resources, making troubleshooting and configuration support harder to find independently.
Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

Destination

Strengths

  • Native integration with Microsoft 365, Teams, Outlook, and SharePoint for unified productivity workflow
  • Unlimited custom tables and complex workflows on Enterprise tier enable deep customization for complex sales processes
  • AI-driven predictive analytics and deal intelligence on Enterprise and Premium tiers help sales teams prioritize pipeline
  • Dataverse unified data layer provides a consistent API and data model across all Dynamics 365 and Power Platform apps
  • Strong security model with Field-Level Security and Record Ownership rules for governance-conscious enterprises

Weaknesses

  • Sales Professional tier caps custom tables at 15, creating a migration ceiling for highly customized SMB environments
  • October 2024 pricing increases of $15 per user across all tiers apply to existing customers upon renewal
  • Implementation typically requires costly certified partners, adding 30–50% to total project cost
  • Updates and platform releases can disrupt customizations and plugins, requiring regression testing after each wave
  • Non-Microsoft integrations require additional configuration or middleware, limiting flexibility for heterogeneous tech stacks

Complexity grading

How hard is this migration?

Standard CRM migration. All 8 core objects map 1:1 between Grow CRM and Microsoft Dynamics 365 Sales .

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Grow CRM and Microsoft Dynamics 365 Sales .

  • Object compatibility

    A

    All 8 core objects map 1:1 between Grow CRM and Microsoft Dynamics 365 Sales .

  • 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

    Grow CRM: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Grow CRM to Microsoft Dynamics 365 Sales 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 Grow CRM to Microsoft Dynamics 365 Sales data migrations

Answers to the questions buyers ask most during Grow CRM to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.

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Migrations under 15,000 Contacts, 3,000 Opportunities, and no custom objects typically land between three and five weeks. Migrations with custom field schema reconstruction, large help desk ticket histories, multiple pipeline stages, or self-hosted Grow CRM instances requiring database-direct extraction move to eight to fourteen weeks because of the manual schema work and coordination overhead involved in CSV-based source extraction.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Grow CRM.
Land in Microsoft Dynamics 365 Sales , intact.

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