CRM migration

Migrate from SalezShark to Salesforce Sales Cloud

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 logo

SalezShark

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

58%

7 of 12

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

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

SalezShark logo

SalezShark

What's pushing teams away

  • SalezShark users report that contact and lead data quality degrades without constant enrichment, leading to bounced emails and poor deliverability that undermines outbound campaigns.
  • The minimum 10-user license requirement for monthly billing catches smaller teams unexpectedly — they pay for 10 licenses even when only 3-4 team members use the system.
  • The platform lacks a publicly documented API, making it impossible to automate data extraction or build integrations without manual CSV exports, which limits migration flexibility and ongoing data sync options.

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 SalezShark objects map to Salesforce Sales Cloud

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

maps to

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

SalezShark 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

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

SalezShark 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

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

SalezShark 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

maps to

Salesforce Sales Cloud

Record Type + Sales Process

lossy
Fully supported

SalezShark'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

maps to

Salesforce Sales Cloud

Custom Fields

lossy
Mapping required

Custom 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

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

SalezShark 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

maps to

Salesforce Sales Cloud

ContentDocument + ContentVersion

1:1
Fully supported

SalezShark 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

maps to

Salesforce Sales Cloud

Campaign

1:1
Fully supported

SalezShark 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

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

SalezShark 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

maps to

Salesforce Sales Cloud

Report and Dashboard

1:1
Fully supported

SalezShark 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

maps to

Salesforce Sales Cloud

Flow (rebuild specification)

lossy
Fully supported

Workflow 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

maps to

Salesforce Sales Cloud

Flow (rebuild specification)

lossy
Mapping required

Custom 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.

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.

SalezShark logo

SalezShark gotchas

High

No publicly documented API for automated extraction

Medium

Minimum 10-user billing regardless of actual headcount

Medium

Workflow Automations are not executable at migration time

Medium

Custom Field schema varies by tier and by org configuration

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

  • SalezShark has no API — all extraction is CSV-only

    SalezShark does not publish API documentation for public use. All migration scoping and extraction relies on CSV exports from the UI, which limits batch automation and requires manual coordination for large orgs. We work directly with the customer's export credentials to pull Contacts, Leads, Accounts, Opportunities, Tasks, and Custom Fields in batches. Large orgs may need to run multiple export sessions filtered by date range or record owner. We flag this constraint upfront in every scoping call and plan multi-session exports accordingly.

  • Workflow Automations and Custom Event Triggers are not migratable as code

    Workflow Automations and Custom Event Triggers are gated to SalezShark Professional tier and store trigger-and-action sequences that cannot be directly transferred to Salesforce Flow. We export the automation configuration as a written specification — trigger conditions, filter logic, and downstream actions — and deliver it alongside the migrated records so the destination admin can rebuild them. We do not silently drop these during migration; they are explicitly documented and handed off. The rebuild scope is estimated during scoping and included in the migration proposal.

  • Custom Field schema requires manual extraction from SalezShark UI

    Custom Fields and Custom Layouts are available on Basic and above, but the exact schema (field names, data types, picklist values) is not externally documented via API. We extract the custom field definitions from the account's settings during scoping by navigating the UI with the customer's export credentials, building the field map before importing into Salesforce. Any custom fields that exist only on SalezShark are flagged as candidate fields to create in Salesforce before the data load.

  • Minimum 10-user billing distorts migration scope estimates

    SalezShark enforces a minimum of 10 user licenses even for monthly billing. When migrating out of SalezShark, we confirm the actual active user count against the license count so customers do not pay for unused seats during the transition window. We also flag that the destination CRM should be scoped to the real number of seats needed rather than a legacy license floor, which typically results in a lower monthly subscription at Salesforce for the same functional team size.

  • Salesforce validation rules and field-level security can block bulk import

    Salesforce orgs commonly enforce validation rules (required formats, conditional required fields, picklist whitelists) and field-level security that the migration user must bypass during data load. We coordinate with the customer's Salesforce admin to grant the migration user the Bulk API permission set and either temporarily disable blocking validation rules or add a migration-context bypass flag. Without this coordination, 5-30 percent of records can be rejected on the first import attempt, requiring rework and extending the migration timeline.

Migration approach

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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

SalezShark logo

SalezShark

Source

Strengths

  • Lowest entry price among SMB CRMs at $8/user/month with full feature tiers.
  • Native lead enrichment and company database included at no extra cost.
  • Custom fields, custom layouts, and field-level security available on Basic tier and above.
  • Multi-currency support and conversion scoring included without enterprise gating.
  • Separate database per customer for data isolation and logical security boundaries.

Weaknesses

  • No publicly documented API — all data movement relies on manual CSV exports and imports, which is a hard blocker for automated migrations.
  • Contact data quality depends heavily on the platform's own enrichment engine; exported data may not retain verified status if the destination lacks equivalent enrichment.
  • Minimum 10-user license requirement inflates cost for teams below that threshold, and additional users are billed at a flat $120/user add-on rather than prorated.
  • Workflow Automations and Custom Event Triggers are gated to Professional tier, meaning mid-market teams must pay $39/user/month to access automation capabilities.
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. 3 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 SalezShark and Salesforce Sales Cloud.

  • Object compatibility

    B

    3 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

    SalezShark: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your SalezShark 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 SalezShark to Salesforce Sales Cloud data migrations

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

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Most migrations land between three and five weeks for accounts under 20,000 Contacts and 3,000 Opportunities with no custom objects. Migrations with custom field schemas, multi-pipeline configurations, large task histories (over 200,000 activity records), or enrichment data requiring re-verification move to eight to fourteen weeks because of multi-batch CSV extraction, Bulk API chunking, and pipeline rebuild scope. The absence of a SalezShark API extends scoping time relative to API-based migrations because custom field definitions must be extracted manually from the UI.

Adjacent paths

Related migrations to explore

Ready when you are

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