CRM migration
Field-level mapping, validation, and rollback between Ringy (formerly iSales) and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Ringy (formerly iSales)
Source
HighLevel
Destination
Compatibility
7 of 9
objects map 1:1 between Ringy (formerly iSales) and HighLevel.
Complexity
CModerate
Timeline
2-4 weeks
Overview
Moving from Ringy to GoHighLevel is a migration from a flat-rate communications-first CRM into a white-label business operating system that combines CRM, marketing automation, and agency tools. Ringy has no documented public API — all extraction relies on the UI-based CSV export for Leads, which we augment by auditing Ringy's auto-block keyword list to surface records that may have been silently filtered from the export before scoping begins. We map Ringy Leads to GoHighLevel Contacts, Ringy Companies to GoHighLevel Companies, and Ringy Deals to GoHighLevel Pipeline Deals, preserving pipeline names and stage labels. Custom properties migrate as GoHighLevel custom fields when the 'Include all custom fields' checkbox was selected during export. Drip campaigns, automation sequences, and SMS/email rules do not export from Ringy — we deliver a written inventory of the visible campaign structure for the customer's admin to rebuild in GoHighLevel's Automation builder. Activity history (calls, emails, meetings) that appears in the Ringy Lead CSV transfers as Contact activity notes; dedicated call log exports are not available.
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 Ringy (formerly iSales) 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.
Ringy (formerly iSales)
Lead
HighLevel
Contact
1:1Ringy Leads are the primary record object and the only object with a documented CSV export path. We extract via the UI-based 'Generate CSV' function with 'Include all custom fields' checked. The CSV maps to GoHighLevel Contact records with FirstName, LastName, Phone, Email, and address fields preserved. Custom properties on the Lead migrate to GoHighLevel Contact custom fields, which we provision in the destination account before import. The export filter should capture all non-auto-blocked Leads; we audit the auto-block keyword list during scoping to identify any records that may have been silently excluded.
Ringy (formerly iSales)
Contact (secondary export)
HighLevel
Contact
1:1Ringy exports Contacts through the same Lead CSV workflow rather than a separate object path. Contact-level fields (name, phone, email, custom properties) appear in the same export rows as Leads. We deduplicate by email during transform to avoid double-importing records that exist as both Lead and Contact types in Ringy, and we preserve the original Ringy record type as a custom field ringy_record_type__c for reconciliation.
Ringy (formerly iSales)
Company
HighLevel
Company
1:1Ringy Company records appear in the Lead export via filtering rather than a dedicated export path. Company name, address, and any associated custom properties migrate to GoHighLevel Company records. We normalize company data from Lead rows where the company field is populated and create a Company record before importing the associated Contact so that the Contact-to-Company relationship is satisfied at insert time.
Ringy (formerly iSales)
Deal
HighLevel
Pipeline Deal
1:1Ringy Deals are associated with Leads and included in CSV exports via filtering. Deal name, amount, stage, close date, and pipeline assignment transfer to GoHighLevel Pipeline Deals. Pipeline names and stage labels from Ringy are preserved as metadata and mapped to GoHighLevel Pipeline and Stage configurations, which we provision in the destination account before Deal import begins.
Ringy (formerly iSales)
Activity (Call)
HighLevel
Contact Activity Note
1:1Call history appears as associated history within Ringy Lead rows and in the CRM activity log, but there is no dedicated call log export or bulk download for call recordings or detailed call metadata. We extract any call disposition data, timestamps, and duration values that surface in the Lead CSV and migrate them as GoHighLevel Contact notes with a call__c type flag. Call recordings do not migrate from Ringy. We flag this limitation in the migration scope and document it for the customer.
Ringy (formerly iSales)
Activity (Email/SMS)
HighLevel
Contact Activity Note
1:1Email and SMS engagement history that appears in the Ringy Lead activity timeline migrates as GoHighLevel Contact notes. There is no bulk export for email thread bodies or SMS message content from Ringy. We extract the engagement type, timestamp, and any available disposition from the Lead CSV where present and flag the limitation of message-body migration in the scope document.
Ringy (formerly iSales)
Tag
HighLevel
Tag
1:1Tags applied to Ringy records appear in the Lead CSV export depending on how the record was structured. There is no dedicated tag export path. We extract tag values from Lead CSV rows where present and migrate them as GoHighLevel Contact tags. Tags serve as segmentation markers in both platforms, though the UI for tag management differs.
Ringy (formerly iSales)
Custom Properties
HighLevel
Custom Fields
lossyCustom fields on Ringy Leads must be explicitly included via the 'Include all custom fields' checkbox during CSV export. We verify this option was selected during extraction scoping and flag any custom fields that do not appear in the exported dataset. Custom properties migrate to GoHighLevel Contact custom fields, which we provision before import using the custom field name as a label and inferring field type from the data format in the CSV.
Ringy (formerly iSales)
Campaign
HighLevel
Automation (documentation only)
lossyRingy drip campaigns and automation sequences are platform-native automation objects with no documented export API. Campaign names, stage labels, associated templates, and sequence order are documented as reference metadata during scoping, but the automation logic itself cannot be extracted. We deliver a written campaign inventory to the customer's admin for rebuild in GoHighLevel's Automation builder, which uses a trigger-and-action workflow model different from Ringy's sequence-based drip engine.
| Ringy (formerly iSales) | HighLevel | Compatibility | |
|---|---|---|---|
| Lead | Contact1:1 | Fully supported | |
| Contact (secondary export) | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Deal | Pipeline Deal1:1 | Fully supported | |
| Activity (Call) | Contact Activity Note1:1 | Fully supported | |
| Activity (Email/SMS) | Contact Activity Note1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Custom Properties | Custom Fieldslossy | Mapping required | |
| Campaign | Automation (documentation only)lossy | 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.
Ringy (formerly iSales) gotchas
Usage-based billing for calling and texting is not obvious
No public API — all data extraction is CSV-only via the UI
Auto-block keyword feature silently filters records from exports
Drip campaign and automation logic cannot be exported
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
Scoping and export path verification
We audit the Ringy account for Lead record count, Company records, Deal volume, active drip campaigns, custom properties, and any known auto-block keyword configurations. We verify the CSV export path is accessible, confirm the 'Include all custom fields' checkbox is present in the export UI, and identify whether large datasets require manual splitting. We document the visible drip campaign structure (names, stages, templates) as reference metadata for the rebuild inventory. The scoping output is a written migration scope with record counts, object mapping, and a GoHighLevel plan recommendation.
CSV extraction with auto-block audit
We guide the customer through the Ringy CSV export workflow, ensuring the 'Include all custom fields' checkbox is selected and all relevant filters are applied. We cross-reference the exported dataset against the auto-block keyword list audited in scoping to identify records that may have been silently filtered. Any gaps are flagged for the customer to review in Ringy before the extracted CSV is handed off for transformation. This step is the most manual in the migration and requires a logged-in Ringy user session.
GoHighLevel schema provisioning
We create the GoHighLevel Pipeline configurations (with stage names matching Ringy's pipeline and stage labels), custom fields on Contact and Company objects, and any tag structures needed. We provision in a GoHighLevel sub-account or sandbox equivalent if available, validate the schema, and confirm the mapping against the Ringy CSV headers before production import begins. GoHighLevel's API access enables custom field creation without manual UI steps.
Data transformation and deduplication
We transform the Ringy CSV into GoHighLevel Contact, Company, and Deal API payloads. We deduplicate Contact records by email where the same individual appears as both Lead and Contact in the Ringy export. Custom property values from Ringy map to the provisioned GoHighLevel custom fields. Tags are parsed from CSV rows and normalized. Any records rejected by GoHighLevel's validation (required field gaps, invalid email formats) are logged to a reconciliation queue for manual resolution before retry.
Production import via GoHighLevel API
We import Companies first (as the parent of Contacts), then Contacts (with Company lookups resolved), then Pipeline Deals (with pipeline and stage references validated against the provisioned schema). Each phase emits a row-count reconciliation report. We use GoHighLevel's REST API with appropriate batch sizing and rate-limit handling. Large activity histories that appear in the Ringy CSV migrate as Contact notes with activity type flags.
Cutover, validation, and campaign rebuild handoff
We freeze Ringy writes during cutover, run a delta check for any records modified during the migration window, and enable GoHighLevel as the system of record. We deliver the drip campaign inventory document to the customer's admin for rebuild in GoHighLevel's Automation builder. We support a brief hypercare window for reconciliation issues. Workflows, automations, and sequences do not migrate as code from Ringy; that rebuild work is the customer's admin responsibility using the inventory document.
Platform deep dives
Ringy (formerly iSales)
Source
Strengths
Weaknesses
HighLevel
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 5 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Ringy (formerly iSales) and HighLevel.
Object compatibility
5 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
Ringy (formerly iSales): Not publicly documented.
Data volume sensitivity
Ringy (formerly iSales) 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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