CRM migration
Field-level mapping, validation, and rollback between SalezShark and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
SalezShark
Source
Salesforce Sales Cloud
Destination
Compatibility
7 of 12
objects map 1:1 between SalezShark and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from SalezShark to Salesforce Sales Cloud is an extraction-constrained migration. SalezShark does not publish a public API, so all source data comes from CSV exports run directly from the UI, which limits batch automation and requires manual scoping of large orgs. We extract Leads, Contacts, Accounts, Opportunities, Tasks, and Custom Fields in batches, transform them to Salesforce's schema, and load via the Bulk API with parent-record lookup resolution. Salesforce's separate Lead and Contact model differs from SalezShark's unified Contact object, so we compute the split during scoping and preserve source identifiers on both sides. Workflow Automations, Custom Event Triggers, and pipeline configurations do not migrate as code; we deliver a written specification of every automation for the customer's admin to rebuild in Salesforce Flow.
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 SalezShark 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.
SalezShark
Contact
Salesforce Sales Cloud
Lead or Contact (split required)
1:manySalezShark treats Leads as a distinct object from Contacts with auto-assignment rules and conversion scoring on Basic and above. We map SalezShark Leads to Salesforce Lead and SalezShark Contacts to Salesforce Contact, with the split rule defined during scoping based on the customer's assignment model. Source record IDs are preserved in a custom field sz_source_id__c on both Lead and Contact for reconciliation. Any conversion history in SalezShark (Lead-to-Contact conversion events) is captured as a note on the resulting Salesforce Contact.
SalezShark
Account
Salesforce Sales Cloud
Account
1:1SalezShark Account Management maps directly to Salesforce Account. Company name is the dedupe key. Account is imported before any Contact import so that the AccountId lookup is satisfied at Contact insert time. Multi-currency data from SalezShark's Professional tier migrates to Salesforce's CurrencyIsoCode field on Account and Opportunity.
SalezShark
Opportunity
Salesforce Sales Cloud
Opportunity
1:1SalezShark Opportunity Management maps to Salesforce Opportunity. Pipeline stage, deal value, close date, owner assignment, and probability percentages transfer directly. We resolve AccountId and OwnerId via the Account and User lookups before Opportunity import. Closed-Won and Closed-Lost outcomes and their associated reasons map to Salesforce standard fields.
SalezShark
Pipeline
Salesforce Sales Cloud
Record Type + Sales Process
lossySalezShark's multiple Sales Pipelines map to Salesforce Record Types on Opportunity, each with its own Page Layout and Sales Process. Stage names and ordering are extracted from the current pipeline configuration during scoping and re-created in Salesforce. Probability percentages per stage transfer to StageProbability on the corresponding Sales Process stage entry.
SalezShark
Custom Fields
Salesforce Sales Cloud
Custom Fields
lossyCustom Fields available on SalezShark Basic and above are extracted as a schema inventory from the account settings during scoping. We map each to a typed Salesforce custom field (Text, Number, Picklist, Date, etc.), pre-create the fields in the destination org before any record import, and flag any fields with no Salesforce equivalent as candidate fields to create manually. Picklist values migrate as active values on the Salesforce field.
SalezShark
Task and Activity
Salesforce Sales Cloud
Task
1:1SalezShark Activity and Task Management maps to Salesforce Task. Status, Priority, DueDate, Owner, and association to Contact, Account, or Opportunity transfer directly. We resolve the WhoId (Contact or Lead) and WhatId (Account, Opportunity, or other) references via lookup tables built during the Account and Contact import phases. Activity timestamps are preserved to maintain timeline ordering.
SalezShark
Document
Salesforce Sales Cloud
ContentDocument + ContentVersion
1:1SalezShark Document Management files are exported as metadata (file name, type, size, upload date, associated record ID) and re-associated to the corresponding Salesforce Contact, Account, or Opportunity via ContentDocumentLink records. The actual file content is re-uploaded as Salesforce Files using ContentVersion. File association to the parent record is resolved using the source system's record link captured during extraction.
SalezShark
Campaign
Salesforce Sales Cloud
Campaign
1:1SalezShark Campaigns and Mass Email configurations are available on Basic and above. We map campaign membership records (Contacts and Leads enrolled) to Salesforce Campaign and CampaignMember. Email content and templates do not migrate; we deliver a written list of campaign assets requiring rebuild as Salesforce email templates or Marketing Cloud content. Campaign type and status fields map directly.
SalezShark
User
Salesforce Sales Cloud
User
1:1SalezShark User records map to the OwnerId and AssignedTo fields on migrated records. User licenses themselves are not migratable — we flag the owner reassignment step to avoid orphaned records. Owners without a matching Salesforce User go to a reconciliation queue for the customer's admin to provision before record import continues.
SalezShark
Report and Dashboard
Salesforce Sales Cloud
Report and Dashboard
1:1SalezShark Reports (standard and custom) and dashboards are exportable as configuration metadata describing filters, field selections, and layout. We preserve the configuration but cannot migrate the underlying query results or historical data generated by those reports — these are regenerated automatically in Salesforce when the reports are rebuilt. We deliver a report mapping document specifying the equivalent Salesforce report type and fields for each source report.
SalezShark
Workflow Automation
Salesforce Sales Cloud
Flow (rebuild specification)
lossyWorkflow Automations are gated to SalezShark Professional tier. We export the automation configuration as a written specification: trigger object, trigger conditions, filter logic, and downstream action sequences. This specification is delivered alongside the migrated records so the customer's admin can rebuild each automation in Salesforce Flow. We do not execute or translate workflow logic directly; the rebuild is performed by the customer's admin or a Salesforce partner post-migration.
SalezShark
Custom Event Triggers
Salesforce Sales Cloud
Flow (rebuild specification)
lossyCustom Event Triggers are only available on SalezShark Professional tier. We export each trigger's criteria and downstream action sequence as a written specification describing the event object, condition tree, and action list. The destination team uses this specification to design equivalent Salesforce Flow triggers or Apex triggers. No event trigger logic migrates as executable code.
| SalezShark | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact (split required)1:many | Fully supported | |
| Account | Account1:1 | Fully supported | |
| Opportunity | Opportunity1:1 | Fully supported | |
| Pipeline | Record Type + Sales Processlossy | Fully supported | |
| Custom Fields | Custom Fieldslossy | Mapping required | |
| Task and Activity | Task1:1 | Fully supported | |
| Document | ContentDocument + ContentVersion1:1 | Fully supported | |
| Campaign | Campaign1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Report and Dashboard | Report and Dashboard1:1 | Fully supported | |
| Workflow Automation | Flow (rebuild specification)lossy | Fully supported | |
| Custom Event Triggers | Flow (rebuild specification)lossy | Mapping required |
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.
SalezShark gotchas
No publicly documented API for automated extraction
Minimum 10-user billing regardless of actual headcount
Workflow Automations are not executable at migration time
Custom Field schema varies by tier and by org configuration
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
Scoping and CSV extraction plan
We audit the source SalezShark account across tier, custom field definitions (extracted manually from settings), pipeline configuration, active workflows, active users, and record volumes. Because SalezShark has no API, we design a CSV export plan that segments records by object and date range to fit within manageable export batches. The scoping output is a written migration scope document with object counts, field inventory, and a phased export schedule. We also confirm the Salesforce edition recommendation (Starter at $25/user, Professional at $80/user, or Essentials at $15/user for up to 10 seats) based on the customer's required capabilities.
Schema design in Salesforce Sandbox
We design the destination schema in Salesforce. This includes pre-creating custom fields to match SalezShark custom field names and types, configuring Record Types and Sales Processes for each source pipeline, setting up Opportunity stages with corresponding probabilities, and defining the Lead-Contact split rule based on the customer's SalezShark assignment model. Schema is deployed into a Salesforce Sandbox first for validation before any production migration begins.
CSV export sessions and data transformation
We coordinate with the customer to run CSV exports from SalezShark's UI in batches, extracting Contacts, Leads, Accounts, Opportunities, Tasks, and Custom Fields. Each batch is validated for completeness (record counts, field presence, picklist coverage) before transformation begins. We transform each CSV to Salesforce's column format, resolve picklist values to Salesforce-allowed options, format dates and currencies per Salesforce requirements, and apply the Lead-Contact split rule to Contacts that originated as Leads in SalezShark.
Sandbox migration and reconciliation
We run a full migration into the Salesforce Sandbox using production-like data volume. The customer's RevOps lead reconciles record counts (Accounts in, Contacts in, Leads in, Opportunities in, Tasks in), spot-checks 25-50 random records against the SalezShark source, and signs off the schema and mapping before production migration begins. Any field mapping corrections, picklist value gaps, or pipeline stage mismatches are resolved here.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from SalezShark Companies), Contacts and Leads (with the split applied and AccountId or CompanyName resolved), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Tasks and Activities (via Bulk API 2.0 with WhoId and WhatId lookup resolution), Custom Objects (where applicable, with pre-created schema and lookup dependencies satisfied). Documents and Files are re-associated via ContentDocumentLink after the parent records exist. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and workflow handoff
We freeze SalezShark writes 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 Automation and Custom Event Trigger specification document to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild SalezShark Workflows as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
SalezShark
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 SalezShark and Salesforce Sales Cloud.
Object compatibility
3 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
SalezShark: Not publicly documented.
Data volume sensitivity
SalezShark 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
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