CRM migration

Migrate from Moskit to Salesforce Sales Cloud

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

Moskit logo

Moskit

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

58%

7 of 12

objects map 1:1 between Moskit and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Moskit CRM to Salesforce Sales Cloud is a migration from a Brazilian SMB-focused platform to a globally-scaled enterprise CRM. Moskit stores contacts, companies, deals, activities, and projects with Portuguese-language field labels and deal-centric project linkage; Salesforce uses the Lead-Contact-Account-Opportunity model with separate custom object support from Professional tier. We extract all available Moskit objects via their REST API using bearer-token authentication and paginated queries, resolve the deal-to-project linkage in a two-pass import (deals first, then projects with remapped deal references), and load into Salesforce using the Bulk API with chunking and parent-record lookup resolution. WhatsApp conversation metadata migrates as linked activity records; actual message history stays in WhatsApp infrastructure and is flagged as a gap. Workflows, automations, and WhatsApp integration configurations do not migrate; we deliver a written inventory of Moskit automations for the customer's admin to rebuild in Salesforce Flow.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Moskit objects map to Salesforce Sales Cloud

Each row shows how a Moskit object lands in Salesforce Sales Cloud, 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

Salesforce Sales Cloud

Contact

1:1
Fully supported

Moskit Contact records map directly to Salesforce Contact. We extract all standard fields (name, email, phone, custom properties) and map them to typed Salesforce fields. A custom field moskit_contact_id__c stores the original Moskit record ID for audit reconciliation. The Brazilian Portuguese field labels are preserved as-is in the migration package with a Portuguese-to-English glossary provided separately.

Moskit

Company (Empresa)

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Moskit Empresa records map to Salesforce Account. The Account's Name, Website, Industry, and Phone fields map directly. We use the Company record name as the dedupe key during import. Account is created before any Contact import so that the AccountId lookup on Contact is satisfied at insert time.

Moskit

Deal (Negócio)

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Moskit Deals map to Salesforce Opportunity. The dealstage property maps to Salesforce StageName, and the pipeline assignment maps to a Salesforce Record Type and Sales Process that we configure before migration. Deal monetary values map to Amount, close date maps to CloseDate, and owner assignment maps to OwnerId via the User email lookup.

Moskit

Activity (Atividade)

maps to

Salesforce Sales Cloud

Task and Event

1:many
Fully supported

Moskit Activities are a unified object for tasks, calls, meetings, and notes. We split them by activity type: tasks map to Salesforce Task with Status and Priority; calls map to Task with TaskSubtype=Call and disposition preserved in a custom field; meetings map to Salesforce Event with StartDateTime and EndDateTime; notes map to Salesforce Note linked via ContentDocumentLink. All activities retain their original timestamps for timeline ordering.

Moskit

Project (Projeto)

maps to

Salesforce Sales Cloud

Custom Object (Projeto__c)

1:1
Fully supported

Moskit Projects are deal-centric and must be imported in a second pass after Deals. We create a Salesforce custom object Projeto__c with a lookup field linked_deal__c pointing to the Opportunity. During the first pass, we capture source deal IDs. During the second pass, we resolve each project's source deal ID to the corresponding destination Opportunity ID and inject it into linked_deal__c. This two-pass approach is required because Moskit Projects carry a mandatory deal reference that cannot be satisfied until the destination Opportunity exists.

Moskit

Custom Properties

maps to

Salesforce Sales Cloud

Custom Fields

lossy
Mapping required

Moskit allows custom fields on Contacts, Companies, Deals, and Activities. We extract the custom field definition per object by querying the schema individually (Moskit does not expose a bulk field-enumeration endpoint). Each custom field is created in Salesforce with the closest matching field type (text to Text, number to Number, date to Date, picklist to Picklist or Multi-Select Picklist). Field API names preserve the original Portuguese label slugified into a __c suffix.

Moskit

User (Usuário)

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Moskit User records (name, email, role) map to Salesforce User by email match. We export all users including inactive ones with an is_active__c flag set to false for the customer's admin to activate in Salesforce before the production migration. Owners referenced on Deals, Activities, and Projects are resolved via this User map before those objects are imported.

Moskit

Pipeline Stages

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Mapping required

Moskit pipeline stages (custom-named with stage-order sequencing) map to Salesforce OpportunityStage values. We configure the destination stages in Salesforce Setup before migration, preserving stage order and any probability percentages set in Moskit. Stage-level win/loss probability migrates to StageProbability on each stage entry.

Moskit

WhatsApp Conversation Metadata

maps to

Salesforce Sales Cloud

Task (custom subtype)

lossy
Fully supported

Moskit's WhatsApp Business sync stores conversation metadata (timestamps, participants, message count) linked to Contact records. The actual message content lives in WhatsApp infrastructure and cannot be extracted from Moskit. We import the metadata as Salesforce Tasks with a custom WhatsApp_conversation__c flag set to true, linked to the migrated Contact. Full message history is flagged as a separate data gap for the customer to address via WhatsApp data export tools.

Moskit

Attachment / Document

maps to

Salesforce Sales Cloud

ContentDocument / ContentVersion

1:1
Fully supported

Moskit attachments linked to Contacts, Companies, Deals, or Activities migrate as Salesforce ContentVersion records attached to the corresponding parent record via ContentDocumentLink. We extract the binary file data and re-upload it to Salesforce's Content workspace during migration, preserving file names and sizes. If Moskit stores attachments as URLs rather than binaries, we migrate the URL as a custom text field on the parent record.

Moskit

Deal Product Line Item

maps to

Salesforce Sales Cloud

OpportunityLineItem

1:1
Fully supported

Moskit Deals may include line-item product data. We map this to Salesforce OpportunityLineItem by resolving the Product2 reference and Pricebook2 entry at migration time. Quantity, unit price, and total amount migrate directly to the corresponding OpportunityLineItem fields.

Moskit

Tags / Labels

maps to

Salesforce Sales Cloud

Multi-Select Picklist

lossy
Fully supported

Moskit tags and labels stored as multi-checkbox properties migrate to Salesforce multi-select picklist fields on the appropriate object. Tags used for segmentation migrate as-is; the customer chooses whether to convert tags to Salesforce Topics during scoping.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Deal-to-Project linkage breaks without two-pass sequencing

    Moskit Projects carry a mandatory reference to the originating Deal. If we import Projects before Deals, that linkage breaks silently because the destination Opportunity ID does not yet exist. We sequence the migration to import Deals first, capture the source deal IDs, then import Projects in a second pass while remapping each project's deal reference to the corresponding destination Opportunity ID. This requires holding Projects in a staging queue between passes and is the most common point of data loss in Moskit migrations that do not plan for it explicitly.

  • Moskit API has no documented rate limits

    Moskit's public API exposes create, edit, query, and delete operations per object type, but the platform publishes no rate limit threshold. We probe the API at conservative request intervals (starting at 1 request per 2 seconds) and implement exponential backoff on any 429 response. If 429s appear without a Retry-After header, we default to a 5-second minimum interval. This significantly extends extraction time for large datasets compared to a well-documented API with predictable batch endpoints.

  • WhatsApp message content does not exist in Moskit

    Moskit's WhatsApp Business integration stores conversation metadata (timestamps, participants, message count) linked to Contact records, but the actual message body and media live in WhatsApp's infrastructure. We import the metadata as flagged Tasks during migration. Full message history must be exported separately from WhatsApp Business Manager and is not part of the Moskit migration scope. We flag this gap explicitly in the scoping report so the customer can decide on a WhatsApp data export path before cutover.

  • Portuguese field labels require glossary for non-BR admins

    Moskit's default field labels are in Brazilian Portuguese (e.g., Empresas, Negócios, Atividades, Projetos). When migrating to a global Salesforce org where administrators may not speak Portuguese, these labels cause confusion during mapping and reconciliation. We provide a Portuguese-to-English field-label glossary as part of the migration package. We do not auto-translate labels; we preserve them exactly as they exist in the source so the customer can rename them post-migration.

  • Custom field schema requires per-object discovery

    Moskit does not expose a single endpoint that returns 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 a schema-discovery pass to the extraction script that most other platform migrations do not require. We account for this in our timeline estimate and flag any objects with unusually high custom field counts during scoping.

Migration approach

Six steps for a successful Moskit to Salesforce Sales Cloud data migration

  1. Discovery and Moskit API access

    We generate an API key from Moskit's Marketplace module using bearer-token authentication and validate access by running a lightweight query against each object type (Contact, Empresa, Negocio, Atividade, Projeto, Usuario). We audit custom field definitions per object, pipeline stage count, deal-to-project relationship volume, activity type distribution (task, call, meeting, note), and WhatsApp conversation metadata presence. We produce a written migration scope document that includes record counts per object, a preliminary field mapping, and a deal-to-project linkage count that drives the two-pass sequencing decision.

  2. Schema design in Salesforce Sandbox

    We design the destination schema in a Salesforce Full Copy or Partial Copy Sandbox. This includes provisioning custom objects (Projeto__c and any additional Moskit custom objects), custom fields (mapped from Moskit custom properties with type matching), Opportunity Record Types and Sales Processes for each Moskit pipeline, and Portuguese-to-English field-label aliases. Schema is deployed via Salesforce metadata API or change set. We coordinate with the customer's Salesforce admin to grant the migration user the Bulk API and REST API permissions required for data load.

  3. Sandbox migration and reconciliation

    We run a full migration into the Salesforce Sandbox using production-like data volume from Moskit. The customer's RevOps lead reconciles record counts (Contacts in, Accounts in, Opportunities in, Activities in, Projects in), spot-checks 25-50 random records against the Moskit source, and verifies the deal-to-project linkage integrity (every Projeto record must have a resolved linked_deal__c pointing to a valid Opportunity). The customer signs off on schema and mapping before production migration begins.

  4. User provisioning and owner reconciliation

    We extract every distinct Moskit User referenced on Deal, Activity, and Project records and match by email against the Salesforce destination org's User table. Any Moskit owner without a matching Salesforce User goes to a reconciliation queue. The customer's Salesforce admin provisions missing Users (active or inactive depending on whether the original Moskit user is still active) before production migration begins. OwnerId references are required on most standard objects so this step gates all subsequent imports.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Moskit Empresas), Contacts (with AccountId resolved), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Products and Pricebook entries (if deal line items are present), OpportunityLineItems, Activities via Bulk API (Tasks, Events, Notes split from the unified Atividade object), then Custom Objects including Projeto__c in the second pass with remapped deal references. Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation handoff

    We freeze writes to Moskit during the cutover window, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver a written inventory of Moskit automations (workflow rules, if any) with recommended Salesforce Flow equivalents for the customer's admin to rebuild. We support a one-week hypercare window where we resolve reconciliation issues raised by the customer's team. We do not rebuild automations as Salesforce Flow inside the migration scope; that is a separate engagement.

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
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 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 Moskit and Salesforce Sales Cloud.

  • Object compatibility

    B

    1 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

    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 Salesforce Sales Cloud 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 Salesforce Sales Cloud data migrations

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

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Most Moskit migrations land between four and six weeks for accounts under 20,000 Contacts, 3,000 Deals, and a straightforward deal-to-project structure with no custom objects. Migrations with large engagement histories (over 200,000 activity records), complex deal-to-project linkages spanning multiple pipelines, Portuguese-language custom field remediation, or dual-sandbox validation requirements move to ten to sixteen weeks because of Moskit API pagination overhead, two-pass project sequencing, and Bulk API chunking.

Adjacent paths

Related migrations to explore

Ready when you are

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