CRM migration
Field-level mapping, validation, and rollback between SalezShark and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
SalezShark
Source
HighLevel
Destination
Compatibility
6 of 9
objects map 1:1 between SalezShark and HighLevel.
Complexity
BStandard
Timeline
2-3 weeks
Overview
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.
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 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
HighLevel
Contact
1:1SalezShark 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
HighLevel
Company
1:1SalezShark 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
HighLevel
Contact (with Tag)
lossySalezShark 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
HighLevel
Opportunity
1:1SalezShark 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
HighLevel
Pipeline
lossySalezShark 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
HighLevel
Task
1:1SalezShark 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
HighLevel
Custom Property
lossySalezShark 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
HighLevel
Workflow (documentation only)
1:1SalezShark 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
HighLevel
Contact Attachment / Custom Property
1:1SalezShark 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.
| SalezShark | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Account | Company1:1 | Fully supported | |
| Lead | Contact (with Tag)lossy | Fully supported | |
| Opportunity | Opportunity1:1 | Fully supported | |
| Pipeline | Pipelinelossy | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Custom Field | Custom Propertylossy | Fully supported | |
| Workflow Automation | Workflow (documentation only)1:1 | Fully supported | |
| Document | Contact Attachment / Custom Property1:1 | Fully supported |
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
HighLevel gotchas
Sub-account architecture creates isolated data silos per client
Usage-based telecom and AI costs are not in the subscription price
Workflows have no native equivalent in most destination CRMs
API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account
White-label configuration and branding assets do not export via API
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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.
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
SalezShark
Source
Strengths
Weaknesses
HighLevel
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 HighLevel.
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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