CRM migration

Migrate from SalezShark to HighLevel

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

SalezShark logo

SalezShark

Source

HighLevel

Destination

HighLevel logo

Compatibility

67%

6 of 9

objects map 1:1 between SalezShark and HighLevel.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from SalezShark to GoHighLevel requires a CSV-first extraction strategy because SalezShark does not publish a public API. We work with the customer's export credentials to pull Contacts, Accounts, Opportunities, Tasks, and Custom Fields in structured batches, build a field-level mapping against GoHighLevel's Contact and Opportunity schema, and load the data through GoHighLevel's REST API import endpoints. Pipeline stages from SalezShark become GoHighLevel pipeline stages with stage order preserved. Workflow Automations and Custom Event Triggers from SalezShark Professional tier do not migrate as executable code; we deliver a written specification of each automation (trigger, conditions, downstream actions) so the destination team can rebuild in GoHighLevel's workflow builder. Funnels, landing pages, forms, and email templates are similarly documented for rebuild rather than ported as artifacts.

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

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 SalezShark objects map to HighLevel

Each row shows how a SalezShark 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.

SalezShark

Contact

maps to

HighLevel

Contact

1:1
Fully supported

SalezShark Contact records map directly to GoHighLevel Contact. Standard fields (First Name, Last Name, Email, Phone, Address) use identical naming and map without transformation. Custom fields attached to Contact records are extracted during scoping, mapped to GoHighLevel custom contact properties, and created in GoHighLevel before import. Tags from SalezShark (if used as a segmentation layer) map to GoHighLevel Contact Tags. The email address field serves as the dedupe key during import to prevent duplicate Contact records.

SalezShark

Account

maps to

HighLevel

Company

1:1
Fully supported

SalezShark Account records map to GoHighLevel Company object. Company Name, Website, Industry, Employee Count, and Annual Revenue map to the corresponding GoHighLevel Company fields. Address fields (Street, City, State, Postal Code, Country) migrate as a formatted address block. The Company is created before Contact import so that Contact-Company associations (stored as a lookup on SalezShark Contact) are resolved at import time in GoHighLevel.

SalezShark

Lead

maps to

HighLevel

Contact (with Tag)

lossy
Fully supported

SalezShark Lead records do not have a direct GoHighLevel equivalent; GoHighLevel uses a unified Contact object. We import SalezShark Leads as GoHighLevel Contacts and apply a tag (e.g., 'Imported Lead') to distinguish them from Contacts. Conversion scoring from SalezShark (available on Basic and above) is preserved in a custom numeric field on the GoHighLevel Contact record for segmentation and prioritization.

SalezShark

Opportunity

maps to

HighLevel

Opportunity

1:1
Fully supported

SalezShark Opportunities map to GoHighLevel Opportunities. Fields including Opportunity Name, Value/Amount, Close Date, Stage, Owner, and associated Contact/Account all transfer. Pipeline assignment in SalezShark maps to a GoHighLevel Pipeline that we configure before import. Closed-Won and Closed-Lost reasons migrate as custom text fields on the GoHighLevel Opportunity.

SalezShark

Pipeline

maps to

HighLevel

Pipeline

lossy
Fully supported

SalezShark pipeline configurations (stage names, stage order, stage probabilities) are exported during scoping and recreated in GoHighLevel as Pipelines with the same stage sequence and naming. Each SalezShark pipeline becomes a separate GoHighLevel Pipeline, allowing multi-line-of-business organizations to maintain separate deal tracking views. Stage probabilities are mapped to GoHighLevel probability values if the customer wants weighted pipeline forecasting.

SalezShark

Task

maps to

HighLevel

Task

1:1
Fully supported

SalezShark Tasks map to GoHighLevel Tasks. Task Subject, Description, Due Date, Status (Open/Completed), Priority, and Owner transfer directly. Task associations to Contact, Account, or Opportunity in SalezShark are resolved to the corresponding GoHighLevel Contact or Opportunity lookup at migration time. Historical tasks (completed before migration cutoff) migrate with their original due dates preserved for accurate activity reporting in GoHighLevel.

SalezShark

Custom Field

maps to

HighLevel

Custom Property

lossy
Fully supported

SalezShark Custom Fields (available on Basic tier and above) are extracted as a schema definition during scoping, not just as data values. We map field names to GoHighLevel custom property names, infer data types (text, number, date, dropdown) from SalezShark's field configuration, and pre-create the custom properties in GoHighLevel before importing any records. Fields without a GoHighLevel equivalent are flagged as candidate fields to create after migration.

SalezShark

Workflow Automation

maps to

HighLevel

Workflow (documentation only)

1:1
Fully supported

SalezShark Workflow Automations (Professional tier) store trigger-and-action sequences that cannot be directly transferred to GoHighLevel's workflow engine. We export the full automation configuration — trigger event, filter conditions, action sequence, and delay steps — as a written specification document. The customer or their GoHighLevel admin uses this document to rebuild each automation in GoHighLevel's workflow builder. We do not migrate automations as executable code and do not drop them silently; the rebuild handoff is explicit.

SalezShark

Document

maps to

HighLevel

Contact Attachment / Custom Property

1:1
Fully supported

SalezShark Document Management files (available on Basic and above) are exported as file metadata (filename, file type, associated record) and re-associated with the corresponding GoHighLevel Contact or Company. File content itself is exported from SalezShark and delivered as a zipped archive alongside the migration, with a mapping CSV linking each file to its target Contact or Company record in GoHighLevel for manual re-upload or integration with GoHighLevel's file storage.

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

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

  • SalezShark has no API — extraction relies entirely on CSV exports

    SalezShark does not publish API documentation or expose a data extraction endpoint. All migration scoping and data extraction happens through CSV exports run from the SalezShark UI by the customer's account admin. We coordinate the export sessions, segment the output by object (Contacts, Accounts, Opportunities, Tasks) and date range to avoid timeout on large datasets, and validate field headers against the mapping spec before import. Large organizations with thousands of records may need to run multiple export sessions filtered by record owner or creation date. We flag this limitation upfront in scoping and build the extraction schedule around it.

  • GoHighLevel lacks a direct Lead object equivalent

    SalezShark distinguishes between Leads (unqualified prospects with conversion scoring) and Contacts (qualified records). GoHighLevel uses a single Contact object for all person records. We import SalezShark Leads as GoHighLevel Contacts and tag them for segmentation, but any GoHighLevel-native lead scoring or routing logic the customer wants must be rebuilt using GoHighLevel's workflow conditions and tags after migration. If the customer relies heavily on SalezShark's lead scoring model for routing, we document the score thresholds and rebuild logic as part of the post-migration handoff.

  • GoHighLevel email deliverability requires proactive DNS configuration

    GoHighLevel's email system (LC Email, built on Mailgun infrastructure) uses shared IP reputation across all GHL tenants. Reviewers and migration consultants consistently report lower out-of-the-box email deliverability compared to dedicated email platforms. We configure SPF, DKIM, and DMARC records for the customer's sending domain during GoHighLevel setup as part of the migration handoff, but ongoing deliverability monitoring (bounce rates, spam folder placement) should be tracked post-migration. If email is the customer's primary outbound channel, we recommend a dedicated warmup period and possibly a dedicated sending domain upgrade in GoHighLevel.

  • Workflow Automations require manual rebuild in GoHighLevel

    SalezShark Workflow Automations and Custom Event Triggers (Professional tier) store automation logic in a non-portable format. We do not migrate them as executable artifacts. Instead, we deliver a written automation inventory — trigger conditions, filter logic, action sequences, and delay rules — so the customer's GoHighLevel admin can rebuild each workflow in GoHighLevel's workflow builder. The rebuild scope should be estimated separately from the data migration. Automations that fire on specific field changes or custom event types may require additional GoHighLevel custom property creation before the rebuild can begin.

Migration approach

Six steps for a successful SalezShark to HighLevel data migration

  1. Extraction planning and scoping

    We schedule a scoping call with the customer's SalezShark account admin to confirm the active object inventory (Contacts, Accounts, Opportunities, Tasks, Custom Fields), estimated record volumes per object, and the presence of any Professional-tier Workflow Automations or Custom Event Triggers requiring documentation. We identify any filters needed for large CSV exports (date ranges, record owner filters) to prevent timeout. We also capture the SalezShark pipeline stage names and probabilities for GoHighLevel pipeline configuration mapping.

  2. GoHighLevel account provisioning and pipeline configuration

    Before any data loads, we provision the customer's GoHighLevel account and configure the destination schema. This includes recreating SalezShark pipeline stages as GoHighLevel pipeline stages in the same order, pre-creating GoHighLevel custom properties that match the extracted SalezShark custom field names and inferred data types, and setting up the Company-Contact association model so that Contact imports can resolve to the correct Company record. If the customer has multiple SalezShark pipelines, we create corresponding GoHighLevel Pipelines with appropriate access controls.

  3. CSV extraction and field mapping

    The customer's SalezShark admin runs CSV exports from the UI for each object. We receive the exported files, validate UTF-8 encoding and date format consistency (GoHighLevel expects YYYY-MM-DD for date fields), and build a field mapping spreadsheet that maps each SalezShark field header to the corresponding GoHighLevel field or custom property. Any picklist values in SalezShark are mapped to GoHighLevel option sets before import. We flag any fields with special characters, line breaks, or emojis that may cause import errors and clean them in the staging environment before loading.

  4. Sandbox import and reconciliation

    We run an initial import into the customer's GoHighLevel sandbox environment (or a trial account designated as the staging environment) to validate the mapping end-to-end. We reconcile record counts against the source exports (Contacts exported vs Contacts imported, Opportunities exported vs Opportunities imported), spot-check 25-50 records for field-level accuracy, and verify that Company associations resolved correctly on Contact records. Any mapping corrections (missed custom fields, incorrect picklist mappings, date format issues) are fixed in the staging environment before production import begins.

  5. Production data migration

    With the validated mapping in place, we run the production import in dependency order: Companies first (since Contacts reference them), then Contacts (with the Lead-tagged subset distinguished), then Opportunities (with Pipeline and Stage assignments resolved), then Tasks (with Contact and Opportunity lookups resolved). Each phase emits a reconciliation row-count report. We use GoHighLevel's REST API import endpoints with batch processing and rate-limit handling. After all records are loaded, we run a final reconciliation pass comparing total record counts and field-level sampling against the original SalezShark exports.

  6. Automation inventory delivery and cutover

    We deliver the Workflow Automation inventory document to the customer's admin team, listing each SalezShark automation with its trigger conditions, filter logic, and downstream actions. We do not rebuild these inside the migration scope. During cutover, we coordinate a final delta export of any records modified in SalezShark after the initial extraction run, load those changes into GoHighLevel, then mark SalezShark as read-only to prevent further writes. We provide a one-week hypercare window for the customer to report any record discrepancies or import issues for resolution.

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.
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. 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 HighLevel.

  • 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 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 SalezShark to HighLevel data migrations

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

Can't find your answer?

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Most migrations land between two and three weeks for accounts with under 5,000 Contacts and 1,000 Opportunities and straightforward custom field schemas. Migrations with large historical task records, multiple pipeline configurations, or Professional-tier automation inventories requiring written specifications extend to four to six weeks. The CSV extraction step in SalezShark adds time on the source side — large datasets may require multiple export sessions, which the scoping call estimates in advance.

Adjacent paths

Related migrations to explore

Ready when you are

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