CRM migration

Migrate from Markate to Salesforce Sales Cloud

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

Markate logo

Markate

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

100%

12 of 12

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

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Markate to Salesforce is a platform-category migration: Markate is a field service management system built around job tickets, customer records, and invoice generation, while Salesforce is a general CRM built around Accounts, Contacts, Opportunities, and Cases. There is no public REST API on Markate — data extraction happens through CSV exports via Markate's built-in Data Migration tool, which imposes chunking constraints and requires careful sequencing. We export Customers first, then Items and Categories (required for line-item integrity), followed by Estimates, Work Orders, Invoices, and Expenses in dependency order. Markate's Data Migration tool does not check for duplicates and cannot reverse an import after submission, so we run pre-flight duplicate analysis and always perform a partial import of a record subset before committing the full dataset. Custom fields and file attachments do not export from Markate — we document these gaps as manual-recreate items and provide a checklist for the customer's admin team to re-enter custom field values and re-upload attachments in Salesforce post-migration.

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

Markate logo

Markate

What's pushing teams away

  • The desktop and mobile UI is frequently described as outdated, cluttered, and unintuitive, with slow load times and error messages that are hard to find.
  • Mobile app crashes and unresponsiveness disrupt field workers who depend on real-time job updates on job sites.
  • Support operates only during business hours with no in-app chat, leading to multi-day delays when critical issues arise during a job.
  • The advertised base price hides $10/month add-ons for online booking, review requests, business phone, and photo documentation that stack quickly for a full-featured setup.
  • Integration with Google Contacts and calendar requires manual re-entry rather than a native sync, breaking expected workflows.

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 Markate objects map to Salesforce Sales Cloud

Each row shows how a Markate 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.

Markate

Customer

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Markate Customers map directly to Salesforce Account. The customer's company name becomes Account.Name; phone, email, address, and notes fields map to typed Salesforce fields (Phone, PersonEmail, BillingAddress). We run pre-flight duplicate analysis on the exported CSV against existing Salesforce Account names using fuzzy matching and present a deduplication report before importing, because Markate's Data Migration tool does not check for duplicates at import time.

Markate

Customer

maps to

Salesforce Sales Cloud

Contact (nested under Account)

1:1
Fully supported

If the Markate Customer record includes individual contact names separate from the business name, we also create Salesforce Contact records linked to the Account. This is most relevant for enterprise customers where the Account represents the company and the Contact represents the primary decision-maker or job site coordinator. We resolve the AccountId reference before Contact insert to satisfy the Lookup relationship.

Markate

Item and Category

maps to

Salesforce Sales Cloud

Product2 and PricebookEntry

1:1
Fully supported

Markate Items and Categories define the product and service catalog used in Estimates and Invoices. Categories must be imported first to establish the parent reference structure. Items map to Salesforce Product2 records with the item name, SKU (if populated), and unit price. We create a Standard Pricebook entry during import so that line items on migrated Estimates and Invoices can reference the price. If Markate Categories do not map cleanly to Product2 families, we document the gap and recommend a Category-to-Product Family mapping decision during scoping.

Markate

Estimate

maps to

Salesforce Sales Cloud

Opportunity (or Quote with custom fields)

1:1
Fully supported

Markate Estimates map to Salesforce Opportunity at the header level, with line items preserved as OpportunityLineItems. The Estimate status (sent, accepted, declined) maps to Opportunity StageName values that we configure before migration — accepted maps to a won stage, declined to closed lost, and sent to a mid-funnel stage. If the customer uses Salesforce Field Service Lightning, Estimates may alternatively map to Work Order objects with custom fields carrying Estimate metadata.

Markate

Work Order

maps to

Salesforce Sales Cloud

Case

1:1
Fully supported

Markate Work Orders are the job ticket object and map to Salesforce Case. We map Work Order status to Case Status, assigned team members to Case Owner (User lookup), job details and description to Case Description, and scheduled date to Case Created Date or a custom date field. If Salesforce Field Service Lightning is in scope, Work Orders map to the FSL Work Order object with ServiceResource and WorkOrderLineItem relationships preserved.

Markate

Invoice

maps to

Salesforce Sales Cloud

Invoice (Salesforce Billing) or Opportunity with custom fields

1:1
Fully supported

Markate Invoices map to Salesforce Invoice (if Salesforce Billing is enabled) or to Opportunity with invoice-specific custom fields capturing invoice number, amount, payment status, and payment method. Line items migrate as OpportunityLineItems referencing the Product2 records created from Items. Partial payment status migrates as a custom field since Salesforce Invoice supports partial payment recording. If Salesforce Billing is not enabled in the destination org, we default to the Opportunity-with-custom-fields pattern.

Markate

Expense

maps to

Salesforce Sales Cloud

Expense (custom object)

1:1
Fully supported

Markate Expenses track job-related costs and link to Work Orders or Customers. Since Salesforce does not have a native Expense object in Sales Cloud, we pre-create a custom Expense__c object with fields for Amount, Vendor, Date, Description, and Work_Order__c lookup. We migrate expense records as Expense__c records linked to the parent Case (Work Order). Receipt attachments do not migrate through Markate's Data Migration tool and are flagged as manual-recreate items.

Markate

Team Member / Employee

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Markate Team Members are billable users assigned to Work Orders and Invoices. We import Team Member records to preserve assignment history, but map User IDs carefully since Salesforce uses a different User ID schema. We resolve Team Members by email match against Salesforce Users. Any Team Member without a matching Salesforce User is held in a reconciliation queue for the customer's admin to provision before record import resumes, since OwnerId references are required on Case and Opportunity.

Markate

Attachment (not exported)

maps to

Salesforce Sales Cloud

ContentDocument (manual upload required)

1:1
Fully supported

Markate's Data Migration tool does not export or import file attachments — photos, signed documents, and receipts associated with Work Orders, Invoices, or Estimates are not included in the CSV export. We flag all attachments as manual-migration items and provide a checklist organized by object (Work Order ID, Invoice ID) that the customer's admin uses to re-upload files to Salesforce ContentDocument records linked to the parent Case, Opportunity, or Account. No data transformation is possible for this gap.

Markate

Custom Field (not exported)

maps to

Salesforce Sales Cloud

Custom Field (manual re-entry required)

1:1
Fully supported

Markate does not expose custom field definitions via its CSV import interface. Any custom fields added by the customer in Markate are not visible in the exported CSV data. We document the full list of custom fields identified during scoping as a gap report, and the customer re-enters these values as custom fields on the Salesforce object post-migration or maps them to existing Salesforce fields during the handoff call. No automated migration is possible for this gap.

Markate

Estimate Line Item

maps to

Salesforce Sales Cloud

OpportunityLineItem

1:1
Fully supported

Markate Estimate line items (quantity, unit price, description) map to Salesforce OpportunityLineItem. We resolve the Pricebook2 reference and Product2 reference at migration time. Total amounts are calculated from quantity and unit price and stored as Salesforce LineItemAmount. If an Estimate references an Item that does not exist in Salesforce Product2, we create the Product2 record at migration time to satisfy the foreign key.

Markate

Invoice Line Item

maps to

Salesforce Sales Cloud

OpportunityLineItem

1:1
Fully supported

Markate Invoice line items map to Salesforce OpportunityLineItem in the same manner as Estimate line items, using the same Pricebook2 and Product2 resolution logic. Invoice-level discounts and tax amounts map to custom fields on OpportunityLineItem or Opportunity depending on the customer's discount structure. Payment status (paid, partial, unpaid) maps to a custom field since Salesforce Invoice standard status does not cover partial payment cleanly without custom configuration.

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.

Markate logo

Markate gotchas

High

No duplicate checking during CSV import

High

Import cannot be reversed

Medium

Custom fields and attachments are excluded from exports

Medium

No public API for automated migration tooling

Low

Support hours limited to business days only

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

  • Markate has no REST API — migration runs entirely on CSV

    Markate does not publish a REST or GraphQL API for programmatic data extraction. We extract data through CSV files generated via Markate's built-in Data Migration tool, which limits us to one object per export file and requires manual chunking for large datasets. This eliminates the possibility of delta syncs or incremental migration after initial cutover. We mitigate by completing all validation in a pre-production environment before the production cutover window and providing a rollback checklist rather than a rollback migration.

  • CSV import has no duplicate detection and cannot be reversed

    Markate's Data Migration tool accepts CSV files without checking for duplicate customers or records. If a customer appears twice in Markate or exists in both systems, both records are created without merge prompting. Once a CSV is submitted, the import cannot be undone — there is no rollback or bulk-delete feature. We run pre-flight duplicate analysis on the exported CSV, present a deduplication report, and always perform a partial import of a subset of records first to confirm the mapping before committing the full dataset.

  • Custom fields and file attachments are excluded from all exports

    Markate's Data Migration export does not include custom fields added by the customer or any file attachments (photos, signed documents, receipts). We explicitly call out these gaps in the scoping call and provide a manual-migration checklist organized by object and record ID for attachments to re-upload, and a custom field gap report for values requiring re-entry or re-configuration in Salesforce. Neither gap is addressable through the CSV export mechanism.

  • Salesforce Field Service Lightning may be required for Work Order fidelity

    Markate Work Orders carry scheduling, assignment, and job status data that maps cleanly to Salesforce Case, but customers using field service dispatch may need Salesforce Field Service Lightning ($2,000/month minimum plus per-dispatcher and per-technician licensing) to preserve the full dispatch workflow in Salesforce. If FSL is not in scope, we map Work Orders to Case and document the scheduling and resource assignment gap as a rebuild item for the customer's admin or a Salesforce partner.

  • Support hours limited to business days on Markate during cutover

    Markate's support team operates during standard business hours without in-app chat or emergency support. When migration validation issues arise during the cutover window — which often falls on a weekend to minimize business disruption — customers must wait for the next business day for Markate support. We mitigate this by completing all migration validation steps before the planned cutover window, running a partial import first to confirm the mapping is correct, and providing a rollback checklist so the customer can revert to Markate as read-only if a critical issue surfaces during cutover.

Migration approach

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

  1. Discovery and CSV extraction plan

    We audit the source Markate account for record counts across all supported object types (Customers, Estimates, Work Orders, Invoices, Items and Categories, Expenses, Team Members), identify any custom fields used, and count associated file attachments. We map the Markate Data Migration tool's export format for each object type to the required Salesforce field schema. We also identify which Salesforce edition is in scope (Sales Cloud Professional at $80/user or Enterprise at $165/user) and whether Salesforce Field Service Lightning is required for Work Order dispatch fidelity. The discovery output is a written migration scope with record counts, a dependency graph for object sequencing, and a custom field gap report.

  2. Schema design in Salesforce sandbox

    We design the destination schema in a Salesforce Sandbox. This includes provisioning custom objects for Expenses (if not using Case), custom fields for invoice payment status, Work Order metadata, and Estimate status. We configure Record Types and Sales Processes for the Opportunity object to map Markate Estimate statuses. If Salesforce Field Service Lightning is in scope, we pre-create the Work Order object with appropriate field mappings. Schema is validated in Sandbox before any production migration begins. The customer reconciles a spot-check of 25-50 records before signing off.

  3. Pre-flight duplicate analysis and data cleansing

    We run a pre-flight duplicate analysis on every exported CSV file before submitting to Markate's Data Migration tool. Using fuzzy name matching and email deduplication logic, we present a deduplication report showing potential duplicate Customers. The customer confirms which records to keep, merge, or discard before any CSV is submitted, since Markate cannot un-import data after submission. We also validate field counts, required field presence, and date formats against Markate's documented CSV requirements.

  4. Partial import validation

    Before committing the full dataset, we run a partial import of a subset of records (typically 50-200 records per object type) through Markate's Data Migration tool and validate the result against the source CSV. This confirms the field mapping is correct and that no data is silently truncated or rejected. Any mapping corrections are made to the transform scripts and the partial import is re-run. This step cannot be skipped because Markate's Data Migration tool has no rollback capability.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Markate Customers) first, then Products and PricebookEntries (from Items and Categories), then Team Members (provisioned as Users), then Opportunities (from Estimates), then Cases (from Work Orders), then Invoices (as Opportunities with custom fields or Salesforce Invoice records), then Expense__c records (last, as they reference Cases). Each phase emits a row-count reconciliation report before the next phase begins. File attachments and custom field values are delivered as manual-recreate checklists for the customer's admin to complete post-migration.

  6. Cutover, validation, and admin handoff

    We freeze writes to Markate during the cutover window and run a final delta migration of any records modified during the migration window. We then enable Salesforce as the system of record and deliver the attachment checklist and custom field gap report to the customer's admin team. We support a one-week hypercare window where we resolve reconciliation issues surfaced by the customer's team. We do not configure Salesforce Field Service Lightning scheduling, automations, or reports as part of the migration scope; these are documented as separate rebuild items for the customer's admin or a Salesforce partner.

Platform deep dives

Context on both ends of the pair

Markate logo

Markate

Source

Strengths

  • Single platform replacing separate scheduling, invoicing, and CRM tools for small field service teams.
  • Per-employee pricing model is transparent and predictable as teams grow.
  • Built-in automation for appointment reminders, follow-up emails, and payment collection reduces manual admin work.
  • QuickBooks Online sync is available for accounting integration without abandoning existing bookkeeping.
  • Mobile app (despite reliability complaints) covers the core field worker workflow of job updates and customer communication.

Weaknesses

  • No public REST API limits migration tooling to CSV file exchange only, with no bulk export capability built into Markate.
  • Add-on pricing model inflates the effective cost significantly when contractors need online booking, review management, or photo documentation.
  • Data Migration tool does not check for duplicates, does not alter data, and imports cannot be reversed after submission.
  • No in-app live chat or 24/7 support means issues on a job site can wait days for a response.
  • Limited native integrations beyond QuickBooks Online; Zapier and CompanyCam require separate paid subscriptions on top of Markate's own add-on fees.
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 manual workaround.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Markate and Salesforce Sales Cloud.

  • Object compatibility

    B

    1 of 8 objects need a manual workaround.

  • 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

    Markate: Not publicly documented — no public API exists.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Markate 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 Markate to Salesforce Sales Cloud data migrations

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

Can't find your answer?

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Most migrations land between four and six weeks for accounts under 15,000 Customers, 5,000 Work Orders, and 3,000 Invoices with no Salesforce Field Service Lightning requirement. Migrations with large historical datasets (over 50,000 records total), complex dependency graphs between Estimates, Work Orders, and Invoices, or custom Work Order object schema requirements in Salesforce move to eight to twelve weeks because of CSV batch coordination, partial-import validation cycles, and duplicate reconciliation with the customer before submission.

Adjacent paths

Related migrations to explore

Ready when you are

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