CRM migration
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
Source
Salesforce Sales Cloud
Destination
Compatibility
12 of 12
objects map 1:1 between Markate and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
4-6 weeks
Overview
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.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
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
Salesforce Sales Cloud
Account
1:1Markate 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
Salesforce Sales Cloud
Contact (nested under Account)
1:1If 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
Salesforce Sales Cloud
Product2 and PricebookEntry
1:1Markate 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
Salesforce Sales Cloud
Opportunity (or Quote with custom fields)
1:1Markate 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
Salesforce Sales Cloud
Case
1:1Markate 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
Salesforce Sales Cloud
Invoice (Salesforce Billing) or Opportunity with custom fields
1:1Markate 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
Salesforce Sales Cloud
Expense (custom object)
1:1Markate 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
Salesforce Sales Cloud
User
1:1Markate 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)
Salesforce Sales Cloud
ContentDocument (manual upload required)
1:1Markate'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)
Salesforce Sales Cloud
Custom Field (manual re-entry required)
1:1Markate 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
Salesforce Sales Cloud
OpportunityLineItem
1:1Markate 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
Salesforce Sales Cloud
OpportunityLineItem
1:1Markate 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.
| Markate | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Customer | Account1:1 | Fully supported | |
| Customer | Contact (nested under Account)1:1 | Fully supported | |
| Item and Category | Product2 and PricebookEntry1:1 | Fully supported | |
| Estimate | Opportunity (or Quote with custom fields)1:1 | Fully supported | |
| Work Order | Case1:1 | Fully supported | |
| Invoice | Invoice (Salesforce Billing) or Opportunity with custom fields1:1 | Fully supported | |
| Expense | Expense (custom object)1:1 | Fully supported | |
| Team Member / Employee | User1:1 | Fully supported | |
| Attachment (not exported) | ContentDocument (manual upload required)1:1 | Fully supported | |
| Custom Field (not exported) | Custom Field (manual re-entry required)1:1 | Fully supported | |
| Estimate Line Item | OpportunityLineItem1:1 | Fully supported | |
| Invoice Line Item | OpportunityLineItem1:1 | Fully supported |
Gotchas + challenges
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 gotchas
No duplicate checking during CSV import
Import cannot be reversed
Custom fields and attachments are excluded from exports
No public API for automated migration tooling
Support hours limited to business days only
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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.
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
Markate
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a manual workaround.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Markate and Salesforce Sales Cloud.
Object compatibility
1 of 8 objects need a manual workaround.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Markate: Not publicly documented — no public API exists.
Data volume sensitivity
Markate doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Markate to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.
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