CRM migration

Migrate from Soffront to Microsoft Dynamics 365 Sales

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

Soffront logo

Soffront

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

82%

9 of 11

objects map 1:1 between Soffront 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 Soffront to Microsoft Microsoft Dynamics 365 Sales is a schema-first migration. Soffront uses a Main Object-centric architecture where workflows anchor to a specific object type and generate dependent Tasks; Microsoft Microsoft Dynamics 365 Sales uses the Dataverse data model with separate Account, Contact, and Lead entities and relies on Power Automate for cross-object process automation. We resolve the API rowcount limitation of 500 records per call by implementing offset pagination during extraction, rebuild Soffront's Knowledge Base category hierarchy in Dynamics 365 before importing articles, and deliver a written inventory of Soffront workflows and their Power Automate equivalents for your admin team to rebuild post-migration. Soffront's on-premise editions use Power Export while cloud editions use the Import/Export interface; we determine the edition during scoping and route extraction through the correct path. We do not migrate Soffront workflows, automation rules, or forms as code; these are documented for your admin to rebuild in Power Automate or the Dynamics 365 workflow designer.

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

Soffront logo

Soffront

What's pushing teams away

  • German and European customers report that ERP integrations with local tools like DATEV are not fully automated and require manual data synchronization steps.
  • Complex, individual report building is described as unintuitive, forcing users to export to Excel for deeper data analysis rather than producing insights in-app.
  • Performance issues and speed gaps frustrate users who expect snappy interactions with larger datasets.
  • Some integrations, particularly with Microsoft 365, have incomplete data synchronization that requires periodic manual checks to verify consistency.

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 Soffront objects map to Microsoft Dynamics 365 Sales

Each row shows how a Soffront 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.

Soffront

Contact

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

Soffront Contacts map directly to Microsoft Dynamics 365 Sales Contact. Standard fields (full name, email, phone, address) use standard Dataverse attribute names (fullname, emailaddress1, telephone1, address1_*). Group assignments from Soffront map to Team membership or security roles in Dynamics 365. Soffront lifecycle stage values are preserved in a custom field soffront_lifecycle_stage__c on Contact for reporting continuity.

Soffront

Account

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

Soffront Account records map to Microsoft Dynamics 365 Sales Account. The Account-Contact relationship is preserved by creating Accounts first and resolving the parent Account lookup before Contact import. Industry, size, and custom properties map to standard or custom fields on Account. Account names serve as the dedupe key during import to prevent duplicate Accounts.

Soffront

Deal

maps to

Microsoft Dynamics 365 Sales

Opportunity

1:1
Fully supported

Soffront Deals map to Microsoft Dynamics 365 Sales Opportunity. The deal stage names from Soffront map to Dynamics 365 Opportunity StageName values; we perform a value-mapping exercise during discovery because stage names vary between Soffront instances. Deal amount maps to Amount, owner maps to OwnerId via email match against the Dynamics 365 User table. If the deal has a parent Account in Soffront, we set AccountId on the Opportunity during import.

Soffront

Activity (Call, Email, Meeting, Task)

maps to

Microsoft Dynamics 365 Sales

Task, Event, EmailMessage

1:1
Fully supported

Soffront Activities with type labels (call, email, meeting, task) map to Dynamics 365 Dataverse Task, Event, or EmailMessage records. Calls map to Task with TaskSubtype=Call and call duration in a custom field. Emails map to EmailMessage records (body content) linked to an Activity Task for timeline display. Meetings map to Event with StartTime and EndTime preserved. Activity type labels and custom activity fields require field-level mapping during discovery. Soffront API pagination at 500 records per call means we chunk activity extraction by date range or owner to ensure complete coverage.

Soffront

Project

maps to

Microsoft Dynamics 365 Sales

Dynamics 365 Project Operations or custom entity

1:1
Fully supported

Soffront Projects include status, milestones, managers, resources, and due dates. If the destination Microsoft Dynamics 365 Sales org has Project Operations licensed, we map to the Project entity. If not, we map to a custom project entity created in the destination. Project tasks migrate as related records with parent-project lookups resolved at import time. Milestone dates map to custom date fields or the Project timeline fields depending on destination schema.

Soffront

Ticket

maps to

Microsoft Dynamics 365 Sales

Case

1:1
Fully supported

Soffront support Tickets map to Microsoft Dynamics 365 Sales Case if Service Cloud is included in the destination. Ticket status, priority, assignee, and conversation history migrate. Conversation threads migrate as EmailMessage records linked to the Case. If the destination does not include Service Cloud, we map Tickets to a custom Case entity on the Sales entity set. Ticket type labels map to Case Origin or a custom field depending on the destination's case configuration.

Soffront

Knowledge Base

maps to

Microsoft Dynamics 365 Sales

Knowledge Article

1:1
Fully supported

Soffront Knowledge Base articles export with their category assignments. We recreate the category hierarchy in Dynamics 365 Knowledge Management before importing articles so that article-category relationships are preserved. If Dynamics 365 uses a flat KB structure, we create categories that mirror Soffront's taxonomy and map articles accordingly. Article content migrates as knowledgearticle records with the kbmemArticleContent field containing body text. Status (published, draft) migrates to the article's statecode.

Soffront

Custom Object

maps to

Microsoft Dynamics 365 Sales

Custom Entity (Dataverse)

1:1
Fully supported

Soffront custom objects migrate to Dataverse custom entities with __c suffix API names. We pre-create the destination schema during discovery including all custom attributes, lookup relationships to standard entities (Account, Contact, Opportunity), and any validation rules. Custom field types from Soffront (text, number, picklist, date, checkbox) map to equivalent Dataverse attribute types. The schema is deployed to a Sandbox first for validation before production migration.

Soffront

Custom Fields on Standard Objects

maps to

Microsoft Dynamics 365 Sales

Custom Attributes on Standard Entities

lossy
Fully supported

Soffront custom fields on Contacts, Accounts, Deals, and Activities vary between instances because of Soffront's customization-first design. We perform a field inventory during discovery that captures every custom field's name, data type, and picklist values. The inventory generates a mapping document pairing each Soffront custom field to a new or existing Dynamics 365 custom attribute before any data moves. Picklist values are migrated as Option Set values in Dataverse.

Soffront

Attachment

maps to

Microsoft Dynamics 365 Sales

Annotation (Note) or SharePoint/Blob

1:1
Fully supported

Soffront file attachments linked to Contacts, Deals, Tickets, and Projects export and re-upload to Dynamics 365. Annotations with file attachments become Note (annotation) records with documentbody populated. If the Dynamics 365 org uses SharePoint or Azure Blob for document storage, we configure the document location during migration. File size limits and storage location vary by Soffront edition and are documented during discovery.

Soffront

Group

maps to

Microsoft Dynamics 365 Sales

Team

lossy
Fully supported

Soffront Groups organize records for access control and segmentation. We map group memberships to Dynamics 365 Teams (or Azure Active Directory groups synced to Teams) and replicate the sharing model using Team membership. If Soffront groups have hierarchical nesting, we flatten the structure into Teams with appropriate parent-team assignments in Dynamics 365. Group-based record assignments migrate as OwnerId on the record.

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.

Soffront logo

Soffront gotchas

Medium

API rowcount defaults to 500 records per call

Medium

Workflow definitions tied to Main Objects require recreation

Low

Knowledge Base articles must be mapped to destination KB categories

Medium

Custom field names vary between Soffront instances

Low

On-premise and cloud editions have different import/export paths

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

  • Soffront API defaults to 500 records per call without cursor pagination

    Soffront's API accepts a Rowcount parameter that defaults to 500 records per call when not specified. For large datasets (e.g., 50,000 activities across 3 years), we implement offset-based pagination to iterate through pages without hitting a hard cursor limit. We query total record counts per object during discovery to calculate the number of paginated calls needed before migration begins. Skipping this step results in truncated data for any object exceeding 500 records.

  • Soffront Knowledge Base category hierarchy must pre-exist in Dynamics 365

    Soffront Knowledge Base articles are assigned to categories that define agent lookup structure. If Dynamics 365 Knowledge Management does not have matching categories, articles will import without their category linkage and agents lose the organizational context they rely on. We export the full Soffront category tree during discovery, create the equivalent hierarchy in Dynamics 365 before any article import begins, and validate article-category relationships post-migration. If Dynamics 365 uses a flat KB, we create categories that mirror Soffront taxonomy and map articles accordingly.

  • Soffront custom field names vary between instances and require field-level mapping

    Soffront's customization-first design means two organizations on the same platform may have entirely different custom field names for the same object. A field called Customer Priority in one Soffront instance may be named Priority Level in another. We perform a field inventory during discovery and generate a mapping document that pairs each source custom field to its Dynamics 365 equivalent before any data moves. Picklist values also vary and require a value-mapping exercise for every custom picklist field.

  • Soffront on-premise and cloud editions use different extraction interfaces

    Soffront On-Premise and Online editions use different administrative interfaces for data export. On-Premise users have access to Power Export via the admin console while Online users use the Import/Export section under Setup. We identify the edition during scoping and route extraction requests through the correct interface. If the wrong interface is used, the data schema exposed may not match the migration mapping expectations and fields may be missing or misnamed.

  • Soffront workflows anchored to Main Objects do not migrate to Power Automate

    Soffront workflows are anchored to a specific Main Object and generate dependent Tasks, emails, and field updates based on IF-THEN-ELSE conditions. Power Automate uses a different trigger and action model that operates across the Dataverse rather than being tied to a single entity. We export the workflow definitions as structured records during discovery and deliver a written inventory of every active Soffront workflow with its trigger, conditions, actions, and a recommended Power Automate equivalent. The customer's admin or a Dynamics 365 partner rebuilds them post-migration.

Migration approach

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

  1. Discovery and Soffront edition identification

    We audit the source Soffront instance across edition (cloud vs on-premise), standard and custom object schemas, pipeline and stage definitions, active workflows, Knowledge Base category tree, group structure, and record counts per object. We identify whether the instance uses Power Export (on-premise) or the Import/Export interface (cloud) and configure the correct extraction path. The discovery output is a written migration scope with object inventory, field mapping draft, and a Microsoft Dynamics 365 Sales edition recommendation based on the customer's object count and automation needs.

  2. Schema design and Dynamics 365 sandbox provisioning

    We provision a Microsoft Dynamics 365 Sales Sandbox (Full Copy or Developer) and design the destination schema: custom entities for Soffront custom objects, custom attributes on standard entities for Soffront custom fields, Option Set values for custom picklists, and the Knowledge Base category hierarchy before article import. Soffront stage names are mapped to Dynamics 365 Opportunity StageName values through a value-mapping document produced in discovery. Schema is deployed via the Dynamics 365 solution package into Sandbox first for validation.

  3. Sandbox migration and reconciliation

    We run a full migration into the Dynamics 365 Sandbox using production-like record volumes. The customer's operations lead reconciles record counts per object, spot-checks 20-40 random records against the Soffront source for field accuracy, and validates the Knowledge Base category-article linkage. Any mapping corrections to field names, picklist values, or stage names happen in Sandbox before production migration begins. Knowledge Base category creation is validated here to confirm article-category assignment post-import.

  4. Owner and User reconciliation

    We extract every distinct Soffront Owner referenced on Contacts, Accounts, Deals, Activities, and Tickets and match by email against the destination Dynamics 365 org's User table. Owners without a matching User are held in a reconciliation queue for the customer's admin to provision before record import resumes. If the destination uses Azure Active Directory-synced users, we coordinate with the customer's IT team to ensure the directory provisioning is complete before proceeding.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Soffront Accounts), Contacts (with AccountId resolved), Opportunities (with AccountId, OwnerId, and stage resolved), Knowledge Base categories (created before articles), Knowledge Articles (with category linkage preserved), Activities (via Dataverse Bulk API with chunked extraction for Soffront API pagination), Projects (or custom project entity), Tickets (to Case or custom entity), Custom Objects (with schema created in step 2), and Attachments. Each phase emits a row-count reconciliation report before the next phase begins. Knowledge Base import happens in its own phase to ensure category pre-existence.

  6. Cutover, validation, and workflow handoff

    We freeze Soffront writes during cutover, 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 Soffront workflow inventory document to the customer's admin team for Power Automate rebuild. We support a one-week hypercare window where we resolve reconciliation issues raised by the customer's team. We do not rebuild Soffront workflows as Power Automate flows inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

Soffront logo

Soffront

Source

Strengths

  • Browser-based access with both cloud SaaS and on-premise deployment options gives teams deployment flexibility.
  • Deep customization tools allow organizations to tailor workflows, fields, and objects to match specific business processes.
  • In-house implementation team provides direct support without multi-vendor coordination overhead.
  • Built-in project management, knowledge base, and customer portal reduce the need for supplementary tools.
  • GDPR-compliant data management is a documented strength for European customers.

Weaknesses

  • Reporting and analytics for complex individual reports are unintuitive, often requiring Excel export for meaningful analysis.
  • ERP and third-party integrations, particularly with local European tools and Microsoft 365, have incomplete data synchronization.
  • Performance degrades under larger datasets, with users noting speed improvements are needed.
  • On-premise pricing and deployment require a higher upfront investment of $1,000 minimum.
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. 4 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 Soffront and Microsoft Dynamics 365 Sales .

  • Object compatibility

    C

    4 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

    Soffront: Not publicly documented; rowcount parameter caps results at 500 records per call by default.

  • Data volume sensitivity

    A

    Soffront exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Soffront 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 Soffront to Microsoft Dynamics 365 Sales data migrations

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

Can't find your answer?

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Most migrations land between three and five weeks for accounts under 20,000 Contacts and 4,000 Deals with standard fields and a single Knowledge Base category tree. Migrations with custom objects, large activity histories (over 300,000 activity records), on-premise Soffront editions, or complex Knowledge Base hierarchies move to seven to twelve weeks because of Knowledge Base hierarchy rebuild, offset pagination across large datasets, and custom field schema creation in Dynamics 365. Discovery adds one to two weeks before migration begins.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Soffront.
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