CRM migration

Migrate from Sharpspring to Salesforce Sales Cloud

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

Sharpspring logo

Sharpspring

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

86%

12 of 14

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

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Teams migrate from Sharpspring to Salesforce Sales Cloud when their sales process complexity outgrows Sharpspring's integrated marketing-automation-plus-CRM model — particularly when they need Salesforce's record-type-and-page-layout flexibility, advanced Flow-based automation, or the broader Salesforce AppExchange ecosystem. The migration carries everything Sharpspring stores natively (contacts, companies, deals, pipelines, activities, tags, custom objects) into Salesforce's Account-Contact-Lead-Opportunity schema. The harder problems are mapping Sharpspring's unified contact model (where every record is one object with a lifecycle_stage property) into Salesforce's split Lead/Contact architecture, translating Sharpspring pipelines into Salesforce Sales Processes keyed by RecordTypeId, and preserving Sharpspring's lead scoring as a custom field. Sharpspring's visual workflows, automation sequences, and email templates have no auto-migrate path to Salesforce Flow — we export their definitions for your admin to rebuild. Our migration engine reads Sharpspring via its API, transforms field names and values per the mapping spec, and loads into Salesforce via Bulk API with a 24–48 hour delta window that captures in-flight records during cutover.

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

Sharpspring logo

Sharpspring

What's pushing teams away

  • Automation workflows cannot be exported and must be fully rebuilt manually in the destination, making migration time-intensive for mature accounts.
  • Occasional performance freezes and bugs in the visual workflow builder frustrate power users managing complex automation logic.
  • Steep learning curve for complex automation setups, particularly for teams without a dedicated admin resource to manage the platform.
  • Per-contact pricing becomes expensive at scale, pushing growing agencies toward flat-rate alternatives like GoHighLevel.
  • Limited advanced analytics compared to enterprise platforms, driving mid-market firms toward HubSpot or Marketo.

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 Sharpspring objects map to Salesforce Sales Cloud

Each row shows how a Sharpspring 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.

Sharpspring

Contact

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Sharpspring Contact maps to Salesforce Contact. Sharpspring contacts without a primary company land as Salesforce Contacts attached to a default 'Unassigned Accounts' record. Contacts with a primary company resolve via AccountId — the Account must exist before the Contact is created.

Sharpspring

Contact (lifecycle_stage in [subscriber, lead, marketing qualified, sales qualified])

maps to

Salesforce Sales Cloud

Lead

1:many
Fully supported

Sharpspring contacts with lifecycle stages earlier than 'Customer' route to Salesforce Lead based on the final lifecycle value. Sharpspring does not track historical stage transitions — the final value determines routing. The original lifecycle value is preserved in Lifecycle_Stage__c custom field on the Lead record.

Sharpspring

Contact (lifecycle_stage in [customer, evangelist])

maps to

Salesforce Sales Cloud

Contact

1:many
Fully supported

Sharpspring contacts ending at 'Customer' or 'Evangelist' stage are migrated as Salesforce Contacts, not Leads. This routing rule ensures that paying customers and advocates land in the correct Salesforce object for account-based workflows, opportunity linking, and service-case management. The original Sharpspring lifecycle_stage value is written to Lifecycle_Stage__c on the Salesforce Contact for historical reporting continuity and segmentation. If Sharpspring exposed stage-transition history via API, we preserve the full progression in a custom datetime audit field.

Sharpspring

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Sharpspring Company maps to Salesforce Account. Parent-child company hierarchies in Sharpspring map via Salesforce ParentId. Sharpspring contacts can belong to multiple companies (N:N) — we migrate one primary company per contact as AccountId and surface the rest as AccountContactRelation records.

Sharpspring

Deal

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Sharpspring Deal maps to Salesforce Opportunity with a direct field-to-field translation. Each Sharpspring deal carries its associated pipeline, stage name, monetary amount, expected close date, and owner assignment. The pipeline-to-RecordType mapping is pre-resolved before Opportunity records are inserted so that the RecordTypeId foreign key is valid at load time. Deals without a linked Account are attached to a placeholder 'Unassigned Account' to satisfy Salesforce's required AccountId relationship on Opportunities.

Sharpspring

Pipeline

maps to

Salesforce Sales Cloud

Sales Process + Record Type

1:1
Fully supported

Sharpspring Pipeline becomes a Salesforce Sales Process keyed by RecordType. Each Sharpspring pipeline requires its own Salesforce Record Type so Opportunity Stage pick-list values are scoped correctly per pipeline. We deliver a record-type setup plan as part of the migration spec.

Sharpspring

Pipeline Stage

maps to

Salesforce Sales Cloud

Opportunity Stage (per Record Type)

1:1
Fully supported

Sharpspring pipeline stages map to Salesforce Opportunity Stage values on a per-Record-Type basis. Each Sharpspring stage name is matched to a corresponding Salesforce StageName value, with probability percentages and forecast categories reapplied according to your Salesforce configuration. Stage-entry timestamps are preserved as custom datetime fields on the Opportunity so reporting tools can reconstruct the original deal timeline even though Salesforce only tracks the current stage by default.

Sharpspring

Lifecycle Stage

maps to

Salesforce Sales Cloud

Lifecycle_Stage__c (custom pick-list on Lead/Contact)

1:1
Fully supported

Salesforce has no native lifecycle_stage equivalent. The Sharpspring lifecycle_stage value migrates as a custom pick-list field (Lifecycle_Stage__c) on both Lead and Contact. SharpSpring's lifecycle history (stage-transition timestamps) is preserved in a custom datetime audit field if Sharpspring exposes this in the API.

Sharpspring

Lead Score

maps to

Salesforce Sales Cloud

Lead_Score__c (custom Number field on Lead/Contact)

1:1
Fully supported

Sharpspring's behavioral and demographic lead scoring migrates as a custom Number field (Lead_Score__c) on both Lead and Contact objects. The scoring weights and rules themselves are not exportable — we provide a reference export of the scoring configuration for your Salesforce admin to rebuild in Flow or a third-party scoring app.

Sharpspring

Activity (call, email, meeting, note)

maps to

Salesforce Sales Cloud

Task / Event / Note

1:1
Fully supported

Sharpspring calls and emails map to Salesforce Tasks with Type='Email' or Type='Call'. Meetings map to Salesforce Events with original start and end times preserved. Notes map to Salesforce Notes (the modern object, not legacy Note). All original timestamps, owners, and parent-record links are preserved.

Sharpspring

Tag

maps to

Salesforce Sales Cloud

Tags__c (custom multi-select text on Contact/Lead)

1:1
Fully supported

Sharpspring tagging has no direct Salesforce equivalent. Tags migrate as a custom multi-select text field (Tags__c) on Contact and Lead objects. If a contact has more tags than the field character limit allows, the overflow is stored in a secondary custom field.

Sharpspring

Form Submission

maps to

Salesforce Sales Cloud

Note (on Contact/Lead)

1:1
Fully supported

Sharpspring form submissions are converted to Salesforce Note records attached to the corresponding Contact or Lead. Each Note captures the form name as the title, the submission timestamp as a header line, and a formatted list of field-name/field-value pairs representing all data submitted through the form. This preserves a complete audit trail of the prospect's or customer's form-based interactions at the time of submission, including any UTM parameters or referral source data that Sharpspring stored with the submission record.

Sharpspring

Custom Object

maps to

Salesforce Sales Cloud

Custom Object (__c)

1:1
Fully supported

Sharpspring custom objects map 1:1 to Salesforce custom objects. Custom-object associations that use Sharpspring's N:N relationship model require Salesforce junction objects — we surface this in the migration plan and create the junction object schema as part of the Salesforce setup step.

Sharpspring

VisitorID (anonymous web visitor tracking)

maps to

Salesforce Sales Cloud

VisitorID__c (custom text on Contact/Lead)

1:1
Fully supported

Sharpspring VisitorID tracks anonymous website visitors and associates them with known contacts after form submission. The VisitorID identifier migrates as a custom text field (VisitorID__c). Salesforce does not have a native anonymous visitor tracking equivalent — this data is preserved for reference only.

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.

Sharpspring logo

Sharpspring gotchas

High

Visual Workflows cannot be exported

High

VisitorID tracking data is platform-locked

High

Landing pages lack any export mechanism

Medium

Custom fields must be pre-created in the destination

Medium

Dynamic list logic does not carry over

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

  • Sharpspring lifecycle stage routing into Salesforce's split Lead/Contact model requires explicit routing rules

    Sharpspring stores leads and customers in one contact object with a lifecycle_stage property; Salesforce splits these into separate Lead and Contact objects. The migration routes Sharpspring contacts to Salesforce Lead or Contact based on the final lifecycle_stage value — 'Customer' and 'Evangelist' become Salesforce Contacts, everything else becomes Leads. Sharpspring does not expose stage-transition history via API in standard exports, so the routing is one-way based on the final value. Any lead that was historically a prospect and later became a customer in Sharpspring will show only the final 'Customer' status in Salesforce. The original lifecycle progression is preserved in a custom audit field if Sharpspring's API returns this data.

  • Each Sharpspring pipeline requires a corresponding Salesforce Record Type — this multiplies Salesforce schema work

    Sharpspring pipelines are independent lists of stages. Salesforce scopes Opportunity Stage pick-list values per Record Type, meaning each Sharpspring pipeline must become a Salesforce Record Type to avoid stage-value collisions across pipelines. A Sharpspring setup with five deal pipelines results in five Salesforce Record Types — each needing its own page layout, profile assignment, and validation rules. We deliver a Record Type setup plan as part of the migration spec, but Salesforce admins must pre-create these in the target org before data lands. This is the most common source of migration-day delays when the schema is not provisioned in advance.

  • Sharpspring lead scoring logic is not exportable — the score value migrates but the scoring rules must be rebuilt

    Sharpspring's lead scoring engine weights behavioral signals (email opens, page visits, form submissions) and demographic signals (company size, industry, title) according to rules defined in the Sharpspring visual workflow builder. The resulting numeric score is stored on the contact record and migrates as Lead_Score__c. However, the scoring rule definitions — which signals are weighted, how decay is applied, what thresholds trigger workflow actions — live in Sharpspring's automation layer and cannot be extracted in a format that auto-converts to Salesforce Flow. We export the scoring configuration as a written reference so your Salesforce admin can replicate the logic in Flow or a third-party scoring application.

  • Sharpspring API export limits may require multi-session extraction for large contact databases

    Sharpspring's API enforces rate limits on data exports. For migration datasets exceeding approximately 50,000 records, a single API export session may be throttled or time out. FlitStack's migration engine handles pagination and retry logic to work within Sharpspring's export constraints, but large-volume migrations may require scheduling export sessions across multiple API calls. This extends the extraction phase but does not affect the Salesforce load, which uses Salesforce Bulk API capable of higher throughput.

  • Sharpspring visual workflows, automation sequences, and email templates have no migration path to Salesforce Flow

    Sharpspring's visual workflow builder creates automation sequences with triggers, conditions, and actions specific to Sharpspring's execution engine. These cannot be auto-converted to Salesforce Flow. Email templates designed in Sharpspring's email builder similarly do not export in a Salesforce-importable format. We export Sharpspring workflow definitions as JSON and documentation that your Salesforce admin can use as a functional reference when rebuilding automations in Flow, Process Builder, or Flow Builder. Landing pages and forms also have no Salesforce equivalent and must be rebuilt in Salesforce Experience Cloud or a third-party form tool.

Migration approach

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

  1. Assess Sharpspring schema and build Salesforce setup plan

    We audit the Sharpspring account to enumerate all standard objects, custom fields, pipelines, lifecycle stages, tags, and custom objects. We cross-reference against Salesforce's target schema to identify which Record Types, custom fields, Sales Processes, and junction objects are needed. We deliver a Salesforce schema setup plan — a diagram and checklist — that your Salesforce admin can use to pre-provision the target org before data migration begins. This step runs concurrently with the migration plan review and typically takes one to two business days.

  2. Export Sharpspring data and resolve owner-email to Salesforce user mappings

    We extract contacts, companies, deals, activities, and custom objects from Sharpspring via its API. Owner resolution matches Sharpspring owner email addresses against Salesforce user records to produce a valid OwnerId. Unresolved owners (no matching Salesforce user) are flagged in an exceptions report — your team either creates the Salesforce user account or assigns a fallback owner before the migration run. This step also handles the multi-session extraction logic for large datasets that exceed Sharpspring's single-session export limits.

  3. Run a sample migration with field-level diff

    A representative slice of records — typically 100 to 500 records spanning contacts, companies, deals, and activities — migrates first. We generate a field-level diff showing source values and destination values side-by-side for every mapped field. You verify the lifecycle-stage routing, pipeline-to-RecordType mapping, owner resolution, and custom field population before we commit to the full run. Sample migration approval is a gating step — no full migration begins until you sign off on the diff.

  4. Execute full migration with delta-pickup window

    The full migration runs against the Salesforce production org using the approved mapping spec. Accounts and their associated Contacts load first (foreign key order: AccountId on Contact). Leads and Opportunities follow with their RecordTypeId assignments. Activities and notes load last with parent-record lookups resolved. A delta-pickup window of 24 to 48 hours captures any Sharpspring records modified during the cutover so Salesforce reflects the final state of Sharpspring at go-live. All insert, update, and skip operations are logged in the audit trail.

  5. Reconciliation report and rollback readiness

    After the delta window closes, we run a reconciliation comparing Sharpspring record counts and field samples against the Salesforce destination. The reconciliation report surfaces any discrepancies in record counts, mapping gaps, or owner-resolution failures. One-click rollback is available if the reconciliation falls below an agreed threshold — this reverts the Salesforce org to its pre-migration state. We do not consider the migration complete until you have reviewed and accepted the reconciliation report.

Platform deep dives

Context on both ends of the pair

Sharpspring logo

Sharpspring

Source

Strengths

  • Unlimited user pricing on all plans, unlike per-seat competitors, making it cost-effective for large teams.
  • All-in-one platform combining CRM, email, forms, landing pages, and automation without tool integration overhead.
  • VisitorID anonymous visitor tracking identifies company names from IP visits before form submission.
  • White-label and multi-client agency dashboard support built natively into the platform.
  • Transparent contact-volume-based pricing with all features included on every tier.

Weaknesses

  • No API-based or bulk export mechanism for automation workflows, requiring full manual rebuild in the destination.
  • Landing pages cannot be exported; content must be manually recreated in the target platform.
  • VisitorID anonymous visitor data is platform-locked and does not migrate to any destination.
  • Custom fields require manual pre-creation in the destination before contact import can proceed.
  • Visual workflow builder has reported performance issues and freezes during complex automation management.
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. 2 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 Sharpspring and Salesforce Sales Cloud.

  • Object compatibility

    B

    2 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

    Sharpspring: Not publicly documented; specific quota limits are not published on SharpSpring's developer documentation.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Sharpspring 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 Sharpspring to Salesforce Sales Cloud data migrations

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

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Most Sharpspring-to-Salesforce migrations complete in 48–72 hours of clock time for under 50,000 records. Larger setups with 500k+ records or extensive custom-object usage extend to 5–7 days. The longest single step is usually Salesforce schema provisioning — creating Record Types, custom fields, and Sales Processes — which your Salesforce admin completes before the data migration runs. Sharpspring API export for very large datasets may require multi-session extraction, adding a day to the extraction phase.

Adjacent paths

Related migrations to explore

Ready when you are

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