CRM migration

Migrate from m-savvy to Microsoft Dynamics 365 Sales

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

m-savvy logo

m-savvy

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

75%

6 of 8

objects map 1:1 between m-savvy and Microsoft Dynamics 365 Sales .

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Migrating from m-savvy to Microsoft Microsoft Dynamics 365 Sales is a cross-architecture move from a Canadian SMB-focused Salesforce-backed platform to Microsoft's cloud-native CRM built on Dataverse. M-savvy stores customer data against a flat Contact and Company model with custom objects discovered only through live API inspection; Dynamics 365 uses the Account-Contact relationship model with Opportunities as the pipeline record. We begin every engagement by enumerating m-savvy's custom object schemas via API because m-savvy publishes no public schema reference, and we map every pipeline stage to a Microsoft Dynamics 365 Sales Process and Record Type. We do not migrate automations or workflows: m-savvy automation patterns have no direct equivalent in Dynamics 365 Power Automate or native Sales automation, so we deliver a written inventory of every active rule for the customer's admin to rebuild. Attachment files require a separate file-export pass from m-savvy's storage layer and a re-upload to Dynamics 365 with relink to parent record IDs post-ingestion.

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

m-savvy logo

m-savvy

What's pushing teams away

  • Very limited public footprint — minimal independent reviews on G2, Capterra Canada, or major software directories makes vendor due diligence and benchmarking difficult.
  • No published pricing, feature list, or API documentation on independent listings, requiring direct vendor engagement for every basic question.
  • Small market share means few third-party connectors or community-built integrations compared to mainstream Canadian CRM alternatives.
  • Public technical and roadmap information is sparse, raising concerns about long-term platform investment for prospects evaluating five-year stacks.
  • Confusion with similarly named products (SavvyCal, SavvySuite CRM, CapSavvy CRM, Payment Savvy, m-savvy at m-savvy.com) creates friction in vendor research and procurement.

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 m-savvy objects map to Microsoft Dynamics 365 Sales

Each row shows how a m-savvy 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.

m-savvy

Contact

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

M-savvy Contacts map to Dynamics 365 Contact. We preserve all standard fields — FullName, Email, BusinessPhone, MailingAddress, LifecycleStage (as a custom field if the destination field does not exist) — and link each Contact to a parent Account after the Account import phase. Owner resolution happens by email match against the destination User table. Any Contact without a matching Account during migration is held in a reconciliation queue until Account IDs are available.

m-savvy

Account (Company)

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

M-savvy Account records map directly to Dynamics 365 Account. The Account-Contact relationship is directional in Dynamics 365: Account is the parent, Contact is the child. We import Accounts before Contacts and use the m-savvy Company ID as the external key for deduplication. Industry, size, and billing address fields map to the equivalent Dynamics 365 Account fields. If m-savvy stores multiple address types (billing, shipping) per Company, we map the primary address to the Account Address fields and hold secondary addresses for Account Address configuration in Dynamics 365.

m-savvy

Deal

maps to

Microsoft Dynamics 365 Sales

Opportunity

1:1
Fully supported

M-savvy Deals map to Dynamics 365 Opportunity. Dealstage maps to Dynamics 365 StageName against a Sales Process we configure before migration. CloseDate, Amount, and Probability transfer directly. If m-savvy stores a Closed-Won or Closed-Lost reason as a custom field, we map it to Dynamics 365 internal字段 or a custom field for loss and win reason analysis. Each Deal's associated Contact and Account resolve to the migrated ContactId and AccountId at migration time.

m-savvy

Lead

maps to

Microsoft Dynamics 365 Sales

Lead

1:1
Fully supported

M-savvy Leads (distinct from Contacts in m-savvy's data model) map directly to Dynamics 365 Lead. Lead status and lead source from m-savvy map to Dynamics 365 Lead Status and LeadSource. If the customer converts Leads to Contacts in m-savvy, we preserve both the original Lead record and the converted Contact during migration. Lead owner assignment resolves by email match against the destination User table.

m-savvy

Pipeline and Pipeline Stage

maps to

Microsoft Dynamics 365 Sales

Sales Process and Stage

lossy
Fully supported

M-savvy pipeline definitions and custom stage names are read from the m-savvy schema via API during discovery. Each m-savvy pipeline becomes a Microsoft Dynamics 365 Sales Process linked to an Opportunity Record Type. Stage probability values migrate from m-savvy to Dynamics 365 probability fields with rounding to the nearest integer percentage allowed by Dynamics 365. We flag stage count or ordering differences that would require a redesign of the customer's sales process in Dynamics 365.

m-savvy

Activity (Call, Email, Meeting, Task)

maps to

Microsoft Dynamics 365 Sales

Task, Email (EmailMessage), and ActivityPointer

1:1
Fully supported

M-savvy activity records (calls, emails, meetings, tasks) linked to Contacts, Accounts, or Deals migrate to Dynamics 365 Task, Email, and ActivityPointer entities. We set the Regarding (object) lookup on each activity to the migrated ContactId, AccountId, or OpportunityId after parent record resolution. Activity timestamps and subject lines preserve. Call duration and disposition values migrate to custom Task fields where Dynamics 365 does not have native equivalents. Activity type is encoded via the ActivityTypeCode or TaskSubtype field.

m-savvy

Custom Object

maps to

Microsoft Dynamics 365 Sales

Custom Entity

1:1
Fully supported

M-savvy custom objects require manual schema discovery via live API during the scoping phase because m-savvy publishes no public schema reference. We enumerate every custom object type, its fields, and its data types, then build a destination Dynamics 365 custom entity with equivalent fields using the Dataverse schema editor. Custom object lookups to standard objects (Contact, Account, Opportunity) are preserved as Dataverse lookups, and parent-record resolution happens during the migration transform phase. We share the complete schema map with the customer for confirmation before any data moves.

m-savvy

Attachment

maps to

Microsoft Dynamics 365 Sales

Annotation (Note) or SharePoint

lossy
Fully supported

M-savvy stores attachment files separately from record data and requires a separate file-export pass. We download files via the m-savvy file API, stage them locally, then upload to Dynamics 365 as Annotation records (for in-record notes and files) or SharePoint document locations linked via the Regarding field. Each file is relinked to its parent Contact, Account, or Opportunity by resolving the original m-savvy parent record ID to the migrated Dynamics 365 record ID. Attachments whose parent records failed migration are flagged and held for manual review.

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.

m-savvy logo

m-savvy gotchas

High

Custom object schemas require manual discovery before migration

Medium

Plan tier restrictions limit exportable record volumes

Medium

Attachment files are not embedded in record exports

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

  • M-savvy custom object schemas require live API discovery

    M-savvy does not publish a public schema reference for custom objects. During the discovery phase, we must call the m-savvy API against the live org to enumerate every custom object type, field name, field type, and relationship. This adds a scoping step that is not required for platforms with open documentation. We build a schema map from the API response, annotate data types and lookup targets, and share it with the customer for confirmation. Custom objects that reference other custom objects require a dependency graph to be built before any import sequence is designed. Skipping this step results in migration of records without their lookup relationships intact.

  • Dynamics 365 validation rules can silently reject imported records

    Dynamics 365 organizations commonly enforce validation rules on required field formats, conditional requireds, and picklist whitelists that are not visible during pre-migration scoping. If the migration user lacks the required field-level permissions or if a validation rule fires on an imported record, the record is rejected without写入. We coordinate with the customer's Dynamics 365 admin to identify active validation rules before migration, grant the migration user elevated permissions via a dedicated migration security role, and run a sandbox pass to surface rejections before the production migration. Without this step, 5-20 percent of records can fail on first import.

  • Attachment files are not embedded in m-savvy record exports

    M-savvy stores attachment files separately from record data. The standard record export does not include file bodies. We must execute a separate file-export pass using m-savvy's file storage API endpoints, download files to our staging environment, then re-upload to Dynamics 365 and relink each file to its parent record by ID. If a parent Contact, Account, or Opportunity fails to migrate, its attachments are flagged in a held-attachments queue for manual review rather than silently orphaned. This two-pass approach adds 1-3 days to the migration timeline depending on attachment volume.

  • M-savvy plan tier restrictions may limit exportable data volume

    M-savvy's entry-tier plans restrict API access and export volumes. Organizations on lower tiers may hit pagination limits or lose access to bulk export endpoints. We identify the customer's current plan during scoping and assess whether the plan provides sufficient API throughput to export all required records within a reasonable window. If the plan restricts exports, we advise on a temporary plan upgrade before migration. If upgrading is not feasible, we document which records will be missed and flag them in the migration inventory report.

Migration approach

Six steps for a successful m-savvy to Microsoft Dynamics 365 Sales data migration

  1. Discovery and plan assessment

    We audit the m-savvy org via API: enumerating all standard objects (Contact, Account, Deal, Lead, Activity), identifying custom objects by inspecting the live schema, counting record volumes per object, and reviewing the current plan tier for export restrictions. We pair this with a Microsoft Dynamics 365 Sales edition recommendation (Professional at $65/user for most migrations; Enterprise at $105/user if the customer needs Copilot, advanced AI, or complex opportunity product bundling). The discovery output is a written migration scope with the m-savvy custom object schema map, record counts, and a Dynamics 365 edition recommendation.

  2. Schema design and pipeline configuration

    We design the Dynamics 365 destination schema. This includes provisioning custom entities for any m-savvy custom objects, creating custom fields with Dataverse-appropriate data types, configuring Sales Processes for each m-savvy pipeline, creating Opportunity Record Types to scope stage values per business unit, and mapping m-savvy Deal stages to Dynamics 365 StageName values with probability percentages. Schema is deployed into a Dynamics 365 Sandbox via the Dataverse Web API or a deployment tool before any data moves. We flag any stage count or ordering differences that require a redesign of the customer's sales process.

  3. Sandbox migration and reconciliation

    We run a full migration into a Dynamics 365 Sandbox using production-like data volume. The customer's RevOps or system admin reviews record counts across all objects, spot-checks 20-40 records against the m-savvy source, and validates that custom object relationships resolved correctly. Any schema corrections, field mapping adjustments, or validation rule bypasses are identified here. We do not begin production migration until the sandbox pass is signed off.

  4. Owner reconciliation and User provisioning

    We extract every distinct m-savvy Owner (hubspot_owner_id or equivalent) referenced on Contact, Account, Deal, Lead, and Activity records and match by email against the Dynamics 365 destination org's User table. Any m-savvy Owner without a matching Dynamics 365 User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Owner resolution must be complete before import begins because OwnerId is a required reference on most standard entities in Dynamics 365.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from m-savvy Companies), Contacts (with AccountId resolved from the Account phase), Leads (with owner resolved), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Activity history (Tasks, Emails via Dataverse API with batch chunking), Custom Objects (last, after standard object lookups are established), then Attachment files (separate file-export pass with parent record ID relink). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation rebuild handoff

    We freeze writes to m-savvy during cutover, execute 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 a written inventory of every m-savvy automation and workflow rule with its trigger, conditions, and recommended Dynamics 365 Power Automate equivalent. We do not rebuild m-savvy automations as Power Automate flows inside the migration scope. We support a five-day hypercare window for reconciliation issues. Power Automate rebuild, post-migration admin training, and Dynamics 365 configuration refinement are separate engagements.

Platform deep dives

Context on both ends of the pair

m-savvy logo

m-savvy

Source

Strengths

  • Salesforce backbone means familiar object model for teams with prior CRM experience.
  • Canadian data residency satisfies domestic compliance requirements for provincial and federal regulations.
  • Bundled marketing automation reduces licensing overhead for small marketing teams.
  • Integrated reporting provides out-of-the-box dashboards without requiring a BI tool.

Weaknesses

  • Limited public API documentation makes pre-migration discovery time-intensive.
  • Smaller market share means fewer third-party integration connectors than major CRMs.
  • Feature parity with enterprise platforms requires higher-tier subscriptions.
  • Custom object support varies by plan, potentially restricting what data can move.
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. 3 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 m-savvy and Microsoft Dynamics 365 Sales .

  • Object compatibility

    B

    3 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

    m-savvy: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your m-savvy 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 m-savvy to Microsoft Dynamics 365 Sales data migrations

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

Can't find your answer?

Walk through your m-savvy to Microsoft Dynamics 365 Sales migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most long-tail migrations land between three and five weeks for accounts under 15,000 Contacts, 3,000 Deals, and minimal custom objects. Migrations with complex m-savvy custom object schemas, multi-pipeline Deal structures, large activity histories (over 200,000 engagement records), or attachment-heavy record sets move to six to ten weeks because of the manual schema discovery phase, Dynamics 365 validation rule coordination, and the two-pass attachment export and import workflow.

Adjacent paths

Related migrations to explore

Ready when you are

Move from m-savvy.
Land in Microsoft Dynamics 365 Sales , intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day