CRM migration

Migrate from Sharpspring to HighLevel

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

Sharpspring logo

Sharpspring

Source

HighLevel

Destination

HighLevel logo

Compatibility

100%

12 of 12

objects map 1:1 between Sharpspring and HighLevel.

Complexity

BStandard

Timeline

48–96 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

SharpSpring and HighLevel both operate as CRM-plus-automation platforms, but their data models diverge in ways that make a scripted export risky. SharpSpring stores contacts with a flat property system, deals tied to named pipelines, tags as flat label lists, and custom objects as a separate entity type. HighLevel stores the same core records — Contacts, Companies, Opportunities — but surfaces deal data through Opportunities with a pipeline ID and status value, treats tags as an array on the contact record, and manages custom objects through its custom objects API with relationship fields. The migration must resolve SharpSpring's deal pipeline stages into HighLevel Opportunity status values, map the tag list into HighLevel's contact-level tag array, and recreate any custom object records inside HighLevel's custom object model. SharpSpring's visual workflow automations (sequences, scoring rules, form-to-workflow triggers) do not have a HighLevel equivalent and must be rebuilt using HighLevel's workflow builder. FlitStack AI extracts SharpSpring records via the platform API, transforms field values to match HighLevel's schema conventions, and loads data in a sequenced order that respects foreign-key dependencies — Contacts first, then Companies, then Opportunities — with a delta-pickup window capturing any records modified during the cutover window.

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

HighLevel logo

HighLevel

What's pulling them in

  • Agencies choose HighLevel to consolidate CRM, email, SMS, scheduling, and funnels into one subscription, eliminating monthly bills for five to ten separate SaaS tools they previously stitched together.
  • The flat-rate pricing model bills per sub-account rather than per contact, so growing a contact database from 1,000 to 100,000 records does not trigger a billing surprise—a common pain point avoided by migrating customers.
  • White-label and sub-account capabilities let agencies resell HighLevel access to their own clients, turning a software cost center into a recurring revenue stream that justifies the subscription.
  • The platform ships a 14-day free trial with no credit card required, giving teams a low-friction entry point to validate fit before committing to the $97/month Starter tier.
  • Marketing agencies managing multiple client accounts use sub-accounts to maintain data isolation per client while operating under a single agency billing relationship with HighLevel.

Object mapping

How Sharpspring objects map to HighLevel

Each row shows how a Sharpspring object lands in HighLevel, 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

HighLevel

Contact

1:1
Fully supported

SharpSpring contacts map directly to HighLevel contacts. Owner assignment resolves by email match against HighLevel user list — contacts whose SharpSpring owner has no matching HighLevel user are flagged before migration so your team can pre-invite those users. This pre‑invite step prevents orphaned records and ensures the correct team member is assigned from day one.

Sharpspring

Company

maps to

HighLevel

Company

1:1
Fully supported

SharpSpring companies map to HighLevel companies. SharpSpring's parent/child company hierarchy translates to a parent_company_id relationship in HighLevel — the parent company must migrate first so the foreign key resolves correctly during the child record load. If a child company references a parent that hasn't been created yet, the load will pause and the migration log will flag the missing dependency for manual resolution.

Sharpspring

Deal

maps to

HighLevel

Opportunity

1:1
Fully supported

SharpSpring deals map to HighLevel Opportunities. Each SharpSpring deal pipeline becomes a HighLevel pipeline; the deal's stage name becomes an Opportunity status value within that pipeline. Probability, forecast category, and stage-entered timestamps are preserved as custom fields for reporting continuity.

Sharpspring

Tag

maps to

HighLevel

Contact.tags (array field)

1:1
Fully supported

SharpSpring tags migrate into the HighLevel contact's tag array. Tag names are transferred verbatim. HighLevel does not have a separate tag object — tags live on each contact record. You may want to consolidate redundant tags before migration to avoid tag sprawl in HighLevel.

Sharpspring

Custom Object (SharpSpring)

maps to

HighLevel

Custom Object (HighLevel)

1:1
Fully supported

SharpSpring custom objects map 1:1 to HighLevel custom objects. Before migration, FlitStack creates the corresponding HighLevel custom object schema via the API so field types and relationship fields exist before data loads. Custom-object-to-contact or custom-object-to-company relationships use HighLevel's relationship field configuration.

Sharpspring

Form

maps to

HighLevel

Form (rebuild reference)

1:1
Fully supported

SharpSpring form definitions do not have a HighLevel equivalent because HighLevel stores form schema differently. FlitStack exports your SharpSpring form field list and configuration as a structured reference document your team uses to rebuild forms in HighLevel's form builder. The export includes field types, required flags, conditional logic, and submission handling so nothing is lost during the rebuild.

Sharpspring

Landing Page

maps to

HighLevel

Site / Funnel (rebuild reference)

1:1
Fully supported

SharpSpring landing pages are platform-specific and cannot be transferred to HighLevel's funnel builder. FlitStack exports a page inventory with field names and routing rules as a rebuild brief for your HighLevel setup team. The inventory captures URL structures, embedded form fields, A/B test variants, and tracking pixel placements to ensure the new funnel pages replicate original performance metrics.

Sharpspring

Email Template

maps to

HighLevel

Email Template (rebuild reference)

1:1
Fully supported

SharpSpring email templates store HTML, images, and dynamic content references that are not portable to HighLevel's email template engine. FlitStack exports a template inventory listing each SharpSpring template's subject, content blocks, and merge field usage as a rebuild guide for HighLevel's template builder.

Sharpspring

Workflow Automation

maps to

HighLevel

Workflow (rebuild reference)

1:1
Fully supported

SharpSpring workflow definitions — triggers, conditions, branch logic, and action sequences — must be rebuilt in HighLevel's workflow builder. FlitStack produces a structured export of your SharpSpring workflow tree (trigger events, conditions, action list, and delay steps) mapped to the equivalent HighLevel workflow actions so your team can replicate logic systematically.

Sharpspring

Note

maps to

HighLevel

Contact Note

1:1
Fully supported

SharpSpring notes attach to contacts or companies with original create timestamps and owner assignments. These migrate as HighLevel contact notes with author attribution and timestamps preserved for full audit continuity. If a note references an owner not yet present in HighLevel, FlitStack flags the note for review and retains the original owner ID as a custom field to avoid data loss.

Sharpspring

Campaign

maps to

HighLevel

Campaign (custom field tagging)

1:1
Fully supported

SharpSpring campaign membership is tracked per contact. HighLevel does not have a native campaign object equivalent to SharpSpring's campaign model. We preserve campaign membership by applying a tag to each contact record (e.g., 'Campaign: Q4-2025 Launch') so you can segment by original campaign in HighLevel.

Sharpspring

Lead Scoring Rule

maps to

HighLevel

Custom field + manual rebuild

1:1
Fully supported

SharpSpring lead scoring rules use point-based logic tied to behavioral signals. HighLevel does not have an equivalent native scoring engine. FlitStack exports your scoring rule definitions as a specification document; you can implement equivalent scoring logic inside HighLevel workflows using conditions and filters.

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

HighLevel logo

HighLevel gotchas

High

Sub-account architecture creates isolated data silos per client

High

Usage-based telecom and AI costs are not in the subscription price

Medium

Workflows have no native equivalent in most destination CRMs

Medium

API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account

Low

White-label configuration and branding assets do not export via API

Pair-specific challenges

  • SharpSpring workflow automations do not migrate and must be rebuilt manually in HighLevel

    SharpSpring stores workflow logic — triggers, conditions, branch logic, email-send actions, scoring point assignments, and delay timers — inside its own automation engine. HighLevel's workflow builder has its own trigger/action model that is not compatible with SharpSpring's definition format. Attempting to run a SharpSpring workflow export through a bulk import in HighLevel will fail because HighLevel expects workflow definitions in its own JSON schema. We export your SharpSpring workflow trees as a structured reference document that lists each trigger, condition branch, and action in sequence, so your HighLevel admin can rebuild them step-by-step in the HighLevel workflow builder without reverse-engineering from memory.

  • SharpSpring deal pipeline stages require value-by-value remapping to HighLevel Opportunity status values

    SharpSpring allows each deal pipeline to have its own set of stage names that are independent of other pipelines. HighLevel Opportunity status values are scoped by pipeline, but the status pick-list for each HighLevel pipeline must be pre-populated before migration. If SharpSpring uses a stage name that does not exist in HighLevel's status pick-list for the target pipeline, the record loads without that status and defaults to blank, breaking pipeline reporting until an admin corrects it manually. FlitStack delivers a stage-map worksheet before migration so your HighLevel admin can pre-create the exact status values matching SharpSpring's stage names in each pipeline.

  • HighLevel API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account

    HighLevel's API enforces a limit of 100 requests per 10 seconds per sub-account token. For large SharpSpring accounts exceeding 100,000 records across contacts, companies, and deals, this rate cap extends the migration window meaningfully compared to a platform with higher throughput allowances. FlitStack respects the HighLevel rate limit and uses batch operations where the API supports them, but we disclose the extended window upfront so your team can plan cutover timing accordingly. There is no way to request a temporary rate-limit increase for migration use cases in HighLevel's current API model.

  • SharpSpring's contact-to-company N:N relationship flattens to a single primary company in HighLevel

    SharpSpring lets a contact be associated with multiple companies simultaneously through its contact-company association model. HighLevel contacts carry a single primary company lookup; the contact record has no native support for a secondary-company array. Contacts that have multiple SharpSpring company associations are assigned to the most-recently-modified company as the primary in HighLevel. We surface all additional company associations in a separate import file so your admin can configure Account Contact Relationships in HighLevel if needed for reporting completeness.

  • SharpSpring custom object schema must be pre-created in HighLevel before data migration runs

    HighLevel's custom objects are not auto-created when you import records — the custom object type and its fields must exist in HighLevel's schema before an API call can load data into them. SharpSpring accounts with multiple custom object types, each with 10+ custom fields, require a schema setup phase before any data moves. FlitStack generates a HighLevel API schema-creation script based on your SharpSpring custom object definitions, so your admin (or our team) can provision the destination custom objects and their field types in the correct sequence before migration validation begins.

Migration approach

Six steps for a successful Sharpspring to HighLevel data migration

  1. Audit SharpSpring schema and export record inventory

    FlitStack connects to SharpSpring via API using scoped read access and inventories all record types — contacts, companies, deals, tags, custom object records, and activity logs. We produce a data-dictionary export listing every SharpSpring field, its type, its pick-list values (for deal stages and lead statuses), and which fields are custom properties. This inventory drives the field-mapping worksheet and identifies any SharpSpring-specific constructs — such as VisitorID data, lead scoring points, or campaign membership — that need a disposition decision before migration design begins.

  2. Design field mapping and pre-create HighLevel custom object schema

    With the SharpSpring inventory in hand, FlitStack designs the field-to-field mapping for every standard and custom field. For SharpSpring deal pipelines, we produce a stage-map worksheet that lists each SharpSpring stage name alongside the target HighLevel pipeline ID and status value your admin pre-creates. If SharpSpring has custom objects, we generate a HighLevel API schema-creation payload so your team (or our team) can create the destination custom object types, field types, and relationship fields before any data loads. This step runs in parallel with your HighLevel setup so schema is ready when migration validation starts.

  3. Resolve owner and user identity by email match

    HighLevel assigns records to users by matching the owner email in SharpSpring against the email address of existing HighLevel users. Before migration, FlitStack runs an identity-resolution pass that compares every SharpSpring owner email against your HighLevel user list. Records with no matching user are flagged with a pre-migration warning — your team either invites those users to HighLevel or assigns a fallback owner before the full run. No record lands without a valid HighLevel owner assignment, which prevents orphaned records that cannot be routed to a team member post-migration.

  4. Run a sample migration with field-level diff before full commitment

    A representative slice of records — typically 200–500 covering contacts, companies, deals across multiple pipelines, tags, and a few activity records — migrates into your live HighLevel sub-account first. FlitStack generates a field-level diff comparing source and destination values for every mapped field so you can verify tag preservation, deal stage mapping, company hierarchy resolution, and owner assignment. This diff is reviewed with you before the full run commits, giving you a checkpoint to catch any mapping gaps — particularly around custom field types and deal pipeline stage values — without risking your full dataset.

  5. Execute full migration with delta-pickup window and audit log

    The full migration runs against your HighLevel sub-account, respecting API rate limits and sequenced by foreign-key order (Companies, then Contacts, then Opportunities, then custom objects). A delta-pickup window of 24–48 hours after the main run captures any SharpSpring records created or modified during the cutover. FlitStack maintains a full audit log of every record inserted, updated, or skipped. If reconciliation against your SharpSpring record counts reveals a discrepancy, one-click rollback reverts the HighLevel sub-account to its pre-migration state so your team can investigate and re-run without data corruption.

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.
HighLevel logo

HighLevel

Destination

Strengths

  • Consolidates CRM, marketing automation, email, SMS, scheduling, and funnels into one platform at a predictable flat monthly rate.
  • Supports unlimited contacts and unlimited users on all paid tiers, removing per-record billing anxiety as databases grow.
  • Offers white-label and sub-account capabilities that let agencies resell access and manage multiple client environments under one billing relationship.
  • Includes built-in review management, reputation monitoring, and AI agents as native features rather than third-party add-ons.
  • Exports Contacts and Companies via a scalable async bulk CSV system that handles multi-million-row datasets without blocking the UI.

Weaknesses

  • The breadth of features creates a steep learning curve; advanced automations and Workflow configuration require significant time investment that smaller teams may not recover.
  • The platform charges usage-based fees for telecommunications and AI features that are not included in the base subscription, leading to bill surprises.
  • Recurring user reports on Reddit and G2 describe bugs, errors, and slow support response times that disrupt live marketing and sales operations.
  • Sub-account architecture, while powerful for agencies, adds migration complexity when identifying which client data lives in which isolated environment.
  • The platform is designed for agencies and SMBs; larger enterprises requiring deep reporting, custom objects at scale, or complex role-based access may outgrow its capabilities.

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 HighLevel.

  • 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 HighLevel 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 HighLevel data migrations

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

Can't find your answer?

Walk through your Sharpspring to HighLevel migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most SharpSpring-to-HighLevel migrations complete in 48–96 hours of clock time for datasets under 50,000 records. Accounts with more than 500,000 records, multiple SharpSpring pipelines with custom stage sets, or extensive custom object schemas extend to 5–10 days. The longest planning step is pre-creating HighLevel pipeline status values and custom object schema to match SharpSpring's configuration before data validation begins. Additionally, the schedule includes a 24–48 hour delta-pickup window to capture records modified during cutover, plus a final reconciliation pass to verify record counts and data integrity before go‑live.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Sharpspring.
Land in HighLevel, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day