CRM migration

Migrate from Moskit to Microsoft Dynamics 365 Sales

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

Moskit logo

Moskit

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

56%

5 of 9

objects map 1:1 between Moskit 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 Moskit CRM to Microsoft Microsoft Dynamics 365 Sales is a cross-locale, cross-platform migration that requires resolving schema differences, API behavioral constraints, and Brazilian Portuguese label preservation. Moskit stores person-level records as Contacts, organizations as Companies (Empresas), sales tracks as Deals (Negócios), and time-bound activities as Atividades, with Projects spawned directly from Deals. Microsoft Dynamics 365 Sales uses the standard Account-Contact-Lead-Opportunity model with Activity, Note, and Task objects. We extract via Moskit's REST API using bearer-token auth, probe conservatively for undocumented rate limits, and load via the Dynamics 365 Dataverse API with batch chunking. Portuguese field labels from Moskit are preserved as-is in Dynamics custom fields with a field-label translation glossary delivered alongside the migration package. Projects from Moskit are not native to Microsoft Dynamics 365 Sales ; we migrate them as custom records linked to Opportunities via a custom reference field. WhatsApp Business conversation metadata (timestamps, participant count, message count) migrates as activity notes, but full message history lives in WhatsApp infrastructure and is flagged as a data gap in the scoping report.

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

Moskit logo

Moskit

What's pushing teams away

  • Weak analytics — G2 and SoftwareWorld reviewers consistently flag that 'the analytics are not good' compared to international competitors, pushing data-driven sales teams toward HubSpot, Pipedrive, or Salesforce.
  • Feature gaps versus mature CRMs — reviewers note 'a few features that you can find on others CRMs missing on Moskit', so growing teams that hit a missing-feature wall migrate out.
  • Limited international presence — Moskit is concentrated in Brazil with Portuguese-first support and documentation; multi-country sales operations expand to Pipedrive, Zoho CRM, or HubSpot for global team coverage.
  • Narrow integration ecosystem versus international leaders — beyond WhatsApp, email, and Brazilian payment/telephony, the third-party connector library is meaningfully thinner than HubSpot's or Pipedrive's marketplaces.
  • Competitive Brazilian field — Atendare, Upsales, and Teamgate are cited as direct Moskit competitors in the Brazilian SMB space, so buyers comparison-shop heavily and Moskit loses deals where competitors offer slightly broader analytics or integration depth.

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 Moskit objects map to Microsoft Dynamics 365 Sales

Each row shows how a Moskit 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.

Moskit

Contact

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

Moskit Contact records (pessoa-level, storing name, email, phone, custom properties) map directly to Dynamics 365 Contact. We extract all standard fields plus any custom properties discovered per object via schema queries run during extraction. The Contact's primary email address becomes the EmailAddress1 field used as the dedupe key on import. We preserve Brazilian Portuguese field labels as custom field display names and deliver a Portuguese-to-English field label glossary so Dynamics admins can navigate without BR-language fluency.

Moskit

Company (Empresa)

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

Moskit Company records (organização-level, linked to Contacts via a foreign key relationship) map to Dynamics 365 Account. The Company domain, address, industry classification, and custom fields all migrate to equivalent Account fields. Account is imported before Contact so that AccountId is resolved at the moment of Contact insert, satisfying the required Lookup relationship.

Moskit

Deal (Negócio)

maps to

Microsoft Dynamics 365 Sales

Opportunity

1:1
Fully supported

Moskit Deals (Negócios) map to Dynamics 365 Opportunity. The dealstage property maps to StageName, and the Moskit pipeline assignment maps to a Microsoft Dynamics 365 Sales Process or Record Type configured before migration. Deal monetary value migrates to Amount; closed-won and closed-lost dates migrate to CloseDate and a custom closed_reason__c field. Custom deal properties discovered during schema extraction migrate as custom Opportunity fields.

Moskit

Pipeline Stage

maps to

Microsoft Dynamics 365 Sales

Opportunity Stage

lossy
Fully supported

Moskit pipelines contain custom-named stages with stage-order sequencing. We map stage names and order to Microsoft Dynamics 365 Sales Process stage values, and migrate stage-level probability percentages to StageProbability. If Moskit uses a stage naming convention in Portuguese, we preserve the Portuguese name in a custom field for audit and configure an English-language StageName that aligns with the customer's chosen Microsoft Dynamics 365 Sales Process.

Moskit

Activity (Atividade)

maps to

Microsoft Dynamics 365 Sales

Task and Event

1:1
Fully supported

Moskit Activities (Atividades) represent tasks, calls, meetings, and notes linked to Deals or Contacts. Activity type labels in Portuguese (e.g., Tarefa, Ligação, Reunião) map to Dynamics 365 Task and Event objects based on activity type. Timestamps, owners, descriptions, and linked record references migrate. Activity type labels are translated in the field label glossary. The activity's linked Deal or Contact reference is resolved at migration time by querying the destination record's Dynamics ID.

Moskit

Project (Projeto)

maps to

Microsoft Dynamics 365 Sales

Custom Project Entity (Opportunity-linked)

1:many
Fully supported

Moskit Projects are deal-centric and spawned from Deal records. Microsoft Dynamics 365 Sales has no native standalone Project object. We migrate Projects as a custom Dataverse entity with a lookup to Opportunity. The Project's deal reference is resolved in two passes: first importing Deals (storing source Moskit deal ID in a custom field), then Projects with the deal reference remapped to the corresponding destination Opportunity ID. Task-level detail within Projects migrates as custom Project Task records on the same custom entity.

Moskit

Custom Properties (per object)

maps to

Microsoft Dynamics 365 Sales

Custom Fields (per entity)

lossy
Fully supported

Moskit allows custom fields on Contacts, Companies, Deals, and Activities. We query each object type individually during schema discovery to enumerate its custom field definitions (Moskit does not expose a bulk custom-field enumeration endpoint). Each custom field is type-mapped to the closest Dynamics 365 field type (text to Single Line of Text, picklist to Option Set, date to Date Only, number to Whole Number or Decimal). Custom fields are deployed to the destination Dynamics 365 environment via Dataverse API before any record data is loaded.

Moskit

User (Usuário)

maps to

Microsoft Dynamics 365 Sales

User

1:1
Fully supported

Moskit User records (name, email, role, active/inactive status) are exported and matched to Dynamics 365 User records by email address. Inactive Moskit users are included with an IsActive flag set to false in a custom field so they can be provisioned correctly in Dynamics 365. Any Moskit Owner without a matching Dynamics User goes to a reconciliation queue for the customer's admin to provision before record import resumes.

Moskit

WhatsApp Conversation Metadata

maps to

Microsoft Dynamics 365 Sales

Note (Activity-linked)

lossy
Fully supported

Moskit's WhatsApp Business sync stores conversation references linked to Contact records, but the actual message content lives in WhatsApp's infrastructure. We extract conversation metadata (timestamps, participant count, message count, conversation status) as Note records linked to the Contact in Dynamics 365. We flag this gap explicitly in the scoping report so the customer can decide whether to export WhatsApp data separately from WhatsApp Business Manager. Full message history does not migrate.

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.

Moskit logo

Moskit gotchas

High

No published API rate limit documentation

Medium

WhatsApp conversation sync is a linked feature, not standalone data

Medium

Deal-to-Project linkage must be explicitly preserved

Low

Custom field definitions vary by object and are not enumerated in bulk

Low

Brazilian Portuguese field labels may cause mapping mismatches

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

  • WhatsApp message history does not migrate from Moskit

    Moskit's WhatsApp Business integration stores conversation references linked to Contact records, but the actual message content lives in WhatsApp's infrastructure, not in Moskit. During migration we import the conversation metadata (timestamps, participant count, message count) as Note records linked to the Contact in Dynamics 365. Full message history, media attachments, and WhatsApp-native conversation threads do not migrate because they are not accessible via Moskit's API. We flag this gap explicitly in the scoping report and recommend the customer export WhatsApp data separately from WhatsApp Business Manager if conversation history is business-critical.

  • Moskit's API has no documented rate limit threshold

    Moskit's public API exposes create, edit, query, and delete operations per object type but publishes no rate limit. We probe the API at conservative request intervals and implement exponential backoff on any 429 response. If 429s appear without a Retry-After header, we default to a 5-second minimum interval per request. We monitor for increasing error rates as migration progresses and dial down throughput accordingly. Without this adaptive approach, long migrations risk mid-process blocking that corrupts partial state.

  • Projects require a two-pass import to preserve deal linkage

    Projects in Moskit are spawned from Deal records and carry a reference to the originating Deal. If we import Projects before Deals, that linkage breaks silently and the Project record becomes orphaned in Dynamics 365. We sequence the migration to import Deals first, capture source deal IDs in a lookup table, then import Projects in a second pass remapping the deal reference to the corresponding destination Opportunity ID. This two-pass approach adds time to the migration but is the only way to preserve the deal-project relationship without data loss.

  • Custom field definitions vary by object and require per-object schema discovery

    Moskit's API does not expose a single endpoint returning all custom field definitions across all object types. We must query each object type individually (Contacts, Companies, Deals, Activities) to retrieve its custom field schema before pulling record data. This adds one discovery pass per object type during extraction and must complete before any field mapping work begins. Skipping this step results in custom field data being silently dropped because the migration tooling never knew those fields existed.

  • Portuguese field labels from Moskit may confuse English-speaking Dynamics admins

    Moskit's default field labels are in Brazilian Portuguese (e.g., Empresas, Negócios, Atividades, Projetos). When migrating to Dynamics 365, which uses English-language labels, administrators who do not speak Portuguese may not recognize the imported field labels. We preserve Portuguese labels as-is and deliver a field-label translation glossary as part of the migration package. This glossary maps each Portuguese label to its English Dynamics equivalent and flags any custom fields that require renaming decisions by the customer.

Migration approach

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

  1. Discovery and schema audit

    We audit the source Moskit environment across objects in scope (Contacts, Companies, Deals, Activities, Projects), custom property definitions per object, pipeline stages, owner list, and WhatsApp conversation metadata volume. We generate an API key from Moskit's Marketplace module and run schema-discovery queries per object type to enumerate all custom fields before pulling record data. The discovery output is a written migration scope, a source-field catalog with Portuguese labels, and a preliminary field-mapping draft for each object.

  2. Destination schema design and custom entity provisioning

    We design the Microsoft Dynamics 365 Sales destination schema including standard entities (Account, Contact, Lead, Opportunity, Task, Event, Note) and any custom entities required for Projects. Custom fields from Moskit are provisioned as typed Dataverse columns before data import. We create a Portuguese-to-English field label glossary in parallel and deliver it with the schema design for customer sign-off. If the customer uses Portuguese-language Dynamics 365, we coordinate label localization options with their tenant settings.

  3. Owner and user reconciliation

    We extract every distinct Moskit Owner referenced on Contact, Company, Deal, and Activity records and match by email against the destination Dynamics 365 User table. Owners without a matching User go to a reconciliation queue. The customer's Dynamics 365 admin provisions any missing Users (active or inactive matching the original Moskit owner status) before record import begins. OwnerId references are required on most standard objects, so this step gates all subsequent imports.

  4. Sandbox migration and reconciliation

    We run a full migration into a Dynamics 365 Sandbox environment using production-like data volumes. The customer's RevOps or CRM lead reconciles record counts across all object types, spot-checks 20-40 records per object against the source Moskit data, and verifies that Portuguese labels, deal stage values, and custom field data all landed correctly. Any mapping corrections are documented and applied before production migration begins. This step also validates that the two-pass deal-before-project sequencing correctly populates the Project-Opportunity lookup.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Users (validated from reconciliation), Accounts (from Moskit Companies), Contacts (with AccountId resolved), Opportunities (with AccountId, OwnerId, and Sales Process resolved), Activities (Tasks and Events via Dataverse API with batch chunking), and finally Projects (second pass with Opportunity ID remapped from the Deal lookup table). WhatsApp conversation metadata lands as Notes during the Activities phase. Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and handoff

    We freeze Moskit writes during cutover, run a final delta migration of any records modified during the migration window, then set Microsoft Dynamics 365 Sales as the system of record. We deliver the Portuguese-to-English field label glossary, the Project-Opportunity linkage map, and the WhatsApp conversation metadata inventory to the customer. We do not rebuild Moskit automations as Dynamics 365 Power Automate flows inside the migration scope; that work is documented separately for the customer's admin team as a post-migration rebuild task.

Platform deep dives

Context on both ends of the pair

Moskit logo

Moskit

Source

Strengths

  • Native WhatsApp Business integration with automatic conversation sync
  • 5000+ integrations available via Zapier, Make, and Pluga
  • AI-powered Smart Fields that extract deal information automatically
  • Meeting recording and transcription linked directly to CRM records
  • Mass email campaigns with personalization at scale

Weaknesses

  • API documentation is not publicly rate-limited; migration tooling must probe and adapt dynamically
  • Limited public review corpus makes it hard to surface common migration pain points from user forums
  • No publicly documented bulk export endpoint; migrations rely on paginated API queries
  • Pricing is in Brazilian Real (R$) only, which may complicate international cost analysis
  • Project module is deal-centric; standalone project management without a deal link is not supported
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 Moskit and Microsoft Dynamics 365 Sales .

B

Overall complexity

Standard migration

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

  • Object compatibility

    A

    All 8 core objects map 1:1 between Moskit 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

    Moskit: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Moskit 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 Moskit to Microsoft Dynamics 365 Sales data migrations

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

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Most migrations land between three and five weeks for accounts under 15,000 Contacts, 3,000 Deals, and no standalone Projects requiring a custom entity. Migrations with Projects requiring a custom Dataverse entity, large activity histories (over 200,000 records), Portuguese label translation scope, or multiple Moskit custom field schemas per object move to eight to fourteen weeks because of per-object schema discovery, two-pass deal-before-project sequencing, and Dataverse batch chunking.

Adjacent paths

Related migrations to explore

Ready when you are

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