CRM migration
Field-level mapping, validation, and rollback between Clientify and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Clientify
Source
Salesforce Sales Cloud
Destination
Compatibility
9 of 14
objects map 1:1 between Clientify and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Clientify to Salesforce Sales Cloud is a structural migration for teams that have outgrown Clientify's reporting depth, pipeline complexity, and enterprise feature ceiling. Clientify uses a unified Contact object without a Lead-to-Contact conversion model, while Salesforce separates Leads from Contacts and Accounts. We design that split during scoping, map Clientify's pipeline stage labels to Salesforce StageName with a configured Sales Process, and preserve company-contact relationships through AccountId lookup resolution at import time. Activity history including calls, emails, meetings, and notes migrates through Salesforce's Bulk API with parent-record resolution so the full timeline attaches to the correct Contact or Account. Workflow automations, WhatsApp conversation logic, and marketing campaign execution rules do not migrate; we deliver written inventories of these for the customer's admin to rebuild in Salesforce Flow or an equivalent tool. Custom field picklist values must be pre-created in Salesforce before import begins, or the migration will reject those records.
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 Clientify 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.
Clientify
Contact
Salesforce Sales Cloud
Lead or Contact (split required)
1:manyClientify's Contact object is a unified record with lifecycle stage, source, and score properties. Salesforce separates unqualified prospects into Leads and qualified contacts into Contacts attached to Accounts. We define the split rule during scoping using Clientify's lifecycle stage values and create a custom field original_lifecycle_stage__c on both the Lead and Contact record for post-migration audit and reporting continuity.
Clientify
Lead
Salesforce Sales Cloud
Lead
1:1Clientify maintains a distinct Lead object separate from Contact, with source, status, and score fields. We map these directly to Salesforce Lead fields including LeadSource, Status, and a custom lead_score__c field. The Salesforce Lead Status picklist values are pre-configured during schema design to match Clientify's status vocabulary.
Clientify
Company
Salesforce Sales Cloud
Account
1:1Clientify Companies map to Salesforce Account. The company domain stored in Clientify becomes the Account Website field and serves as the dedupe key. We create Account records before Contact import so that AccountId Lookup is satisfied at the moment of Contact insert. Industry, size, and address fields migrate directly.
Clientify
Deal
Salesforce Sales Cloud
Opportunity
1:1Clientify Deals map to Salesforce Opportunity with deal name, value, stage, owner, and expected close date preserved. We resolve the AccountId lookup at migration time using the Contact-to-Account relationship, and OwnerId by email matching against the Salesforce User table.
Clientify
Pipeline Stage
Salesforce Sales Cloud
Opportunity Stage + Sales Process
lossyClientify pipeline stages are label strings. We create a Salesforce Sales Process with StageName values that match the Clientify stage sequence and assign probability percentages rounded to Salesforce-allowed integers. Each HubSpot pipeline becomes a Salesforce Record Type with its own Sales Process whitelisting the relevant stage values.
Clientify
Pipeline
Salesforce Sales Cloud
Record Type + Sales Process
lossyClientify's multiple pipelines map to Salesforce Opportunity Record Types, each with a corresponding Sales Process and Page Layout. Stage probability mappings are preserved per pipeline so that weighted pipeline values in Salesforce reports match what the team saw in Clientify.
Clientify
Activity: Call, Email, Meeting, Note
Salesforce Sales Cloud
Task + Event + EmailMessage + Note
1:1Clientify activity records (calls, emails, meetings, task notes) migrate to Salesforce Task with TaskSubtype set to Call, Event with proper StartDateTime and EndDateTime, EmailMessage for email content, and Note for free-text notes. We resolve WhoId (Contact or Lead) and WhatId (Account or Opportunity) for each activity at migration time. ActivityDate is preserved from the Clientify timestamp to maintain timeline ordering.
Clientify
Tag
Salesforce Sales Cloud
Multi-Select Picklist
lossyClientify tags stored as multi-checkbox properties on contacts and companies migrate to Salesforce multi-select picklist fields. The customer selects whether tags land on Contact, Account, or both during scoping. Tags used for segmentation are preserved as-is; dynamic segment definitions tied to Clientify filters must be rebuilt in Salesforce as filtered views or custom list views.
Clientify
Custom Property
Salesforce Sales Cloud
Custom Field
1:1Clientify custom fields on contacts, companies, and deals map to Salesforce custom fields with type-mapped equivalents. Picklist fields require pre-creation of the picklist values in Salesforce before import begins; otherwise records will be rejected. We coordinate with the customer's Salesforce admin during schema design to prepare all picklist value sets and any required-field flags.
Clientify
Email Template
Salesforce Sales Cloud
Email Template (text export)
1:1Clientify email templates with dynamic merge field placeholders export as text bodies. We preserve the template structure and body copy. Dynamic merge field names require remapping to Salesforce merge field syntax (e.g., {{first_name}} becomes {!Contact.FirstName}) as a post-migration admin task since field mapping conventions differ between platforms.
Clientify
Document and Attachment
Salesforce Sales Cloud
ContentDocument + ContentVersion
1:1Document attachments linked to contacts, deals, or companies migrate as ContentVersion records attached via ContentDocumentLink to the parent record. Large files or attachments stored outside Clientify's native file system may not have exportable URLs; we flag any missing attachment URLs during the scoping export audit.
Clientify
User and Owner
Salesforce Sales Cloud
User
1:1Clientify user records (name, email, role) are exported and matched by email against the Salesforce destination org User table. Any Clientify owner without a matching Salesforce User is placed in a reconciliation queue for the customer's admin to provision before record import continues, because OwnerId is a required reference on most standard Salesforce objects.
Clientify
WhatsApp Conversation
Salesforce Sales Cloud
Custom Object or Case (flagged)
1:1WhatsApp message threads linked to Clientify contact records migrate as available. Full conversation history exportability depends on Clientify's API at migration time. We extract available metadata (timestamps, participant IDs, message count, available message body text) and flag any gaps in the scoping report. Media attachments, delivery receipts, and read receipts are preserved where exportable. Salesforce has no native WhatsApp channel, so the customer should plan a replacement WhatsApp integration (Twilio, Salesforce Messaging for WhatsApp, or a native WhatsApp Business API connector) post-migration.
Clientify
Workflow Automation
Salesforce Sales Cloud
None (not migratable)
lossyClientify workflow automation rules are stored internally with no portable export format. We do not migrate them automatically. We provide a structured workflow audit worksheet during scoping so the customer's admin documents every active rule (trigger, conditions, actions, delays), and a recommended Salesforce Flow equivalent is listed in the handoff document for manual rebuild post-migration.
| Clientify | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact (split required)1:many | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline Stage | Opportunity Stage + Sales Processlossy | Fully supported | |
| Pipeline | Record Type + Sales Processlossy | Fully supported | |
| Activity: Call, Email, Meeting, Note | Task + Event + EmailMessage + Note1:1 | Fully supported | |
| Tag | Multi-Select Picklistlossy | Fully supported | |
| Custom Property | Custom Field1:1 | Fully supported | |
| Email Template | Email Template (text export)1:1 | Fully supported | |
| Document and Attachment | ContentDocument + ContentVersion1:1 | Fully supported | |
| User and Owner | User1:1 | Fully supported | |
| WhatsApp Conversation | Custom Object or Case (flagged)1:1 | Fully supported | |
| Workflow Automation | None (not migratable)lossy | 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.
Clientify gotchas
Workflow automation logic does not export
WhatsApp conversation history depends on API exportability
Custom properties may have schema restrictions at destination
Marketing campaign metrics are exportable but campaign logic is not
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 export audit
We audit the Clientify instance across all modules including contacts, companies, deals, pipelines, activities, WhatsApp conversation history, email templates, tags, and custom fields. We run a test export to verify the completeness of available data, confirm WhatsApp exportability, and identify any records with missing parent references. We pair this with a Salesforce edition decision: Professional ($80/user) covers most migrations without custom objects; Enterprise ($165/user) is required for complex Flow at scale, advanced reporting types, or more than ten custom objects; Unlimited ($330/user) only if 24x7 support and unlimited custom apps justify the cost. The discovery output is a written migration scope, a data completeness report, and a Salesforce edition recommendation.
Schema design and Salesforce configuration
We design the destination schema in Salesforce. This includes creating custom fields (with type-mapped Salesforce field types), creating picklist value sets for any Clientify picklist fields, configuring Record Types and Sales Processes for each Clientify pipeline, designing the Lead-Contact split rule based on Clientify lifecycle stage values, and provisioning custom objects for any WhatsApp conversation or quote data that requires a non-standard Salesforce object. Schema is deployed into a Salesforce Sandbox via metadata API first for validation before any production migration begins.
Sandbox migration and reconciliation
We run a full migration into a Salesforce Sandbox (Full Copy or Partial Copy) using production-equivalent data volume. The customer's RevOps lead or Salesforce admin reconciles record counts across all objects, spot-checks 25-50 random records against the Clientify source, and validates that pipeline stages, activity timelines, and custom field values match expectations. Any mapping corrections and picklist value additions happen in this phase, not in production.
Owner reconciliation and User provisioning
We extract every distinct Clientify owner referenced on Contact, Company, Deal, and Activity records and match by email against the Salesforce destination org's User table. Owners without a matching Salesforce User are placed in a reconciliation queue. The customer's Salesforce admin provisions missing Users before record import continues, because OwnerId references are required on standard Salesforce objects and unmapped owners block the import at the Contact and Opportunity phases.
Production migration in dependency order
We run production migration in record-dependency order: Users (manually provisioned and validated), Accounts (from Clientify Companies), Contacts (with AccountId resolved and Lead-Contact split applied), Leads (with Status and score mapped), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Products and Pricebook entries (if quoting is in scope), Line Items, Quotes, Activity history (Tasks, Events, EmailMessages, Notes via Bulk API 2.0 with parent-record resolution), and WhatsApp conversation metadata (as a custom object or flagged for post-migration manual entry). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and handoff
We freeze writes to Clientify during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the Workflow Audit Worksheet documenting every Clientify automation rule, a WhatsApp integration recommendation for the replacement channel, and the Email Template remapping guide for Salesforce merge field syntax. We support a one-week hypercare window where we resolve any record-level reconciliation issues. We do not rebuild Clientify Workflows as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Clientify
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Clientify and Salesforce Sales Cloud.
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
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
Clientify: Not publicly documented.
Data volume sensitivity
Clientify 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
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