CRM migration

Migrate from Ringy (formerly iSales) to HighLevel

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) logo

Ringy (formerly iSales)

Source

HighLevel

Destination

HighLevel logo

Compatibility

78%

7 of 9

objects map 1:1 between Ringy (formerly iSales) and HighLevel.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Ringy (formerly iSales) logo

Ringy (formerly iSales)

What's pushing teams away

  • Pricing opacity and unpredictable usage costs — multiple reviewers report confusion about how charges for minutes and texts accumulate beyond included allowances.
  • Performance slowness and sluggishness — the iSales CRM system can be slow at times according to reviewers, which impacts daily productivity for high-volume users.
  • Auto-blocking behavior silently filters leads from the pipeline based on keywords without clear notification to the user, causing lost prospects.
  • Text message threading is difficult to follow in the interface, creating confusion for teams managing high volumes of inbound and outbound SMS conversations.
  • No documented public API means teams with complex integration needs or large data volumes hit walls that drive them toward platforms with better developer access.

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 Ringy (formerly iSales) objects map to HighLevel

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

maps to

HighLevel

Contact

1:1
Fully supported

Ringy 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)

maps to

HighLevel

Contact

1:1
Fully supported

Ringy 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

maps to

HighLevel

Company

1:1
Fully supported

Ringy 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

maps to

HighLevel

Pipeline Deal

1:1
Fully supported

Ringy 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)

maps to

HighLevel

Contact Activity Note

1:1
Fully supported

Call 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)

maps to

HighLevel

Contact Activity Note

1:1
Fully supported

Email 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

maps to

HighLevel

Tag

1:1
Fully supported

Tags 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

maps to

HighLevel

Custom Fields

lossy
Mapping required

Custom 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

maps to

HighLevel

Automation (documentation only)

lossy
Fully supported

Ringy 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.

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.

Ringy (formerly iSales) logo

Ringy (formerly iSales) gotchas

High

Usage-based billing for calling and texting is not obvious

High

No public API — all data extraction is CSV-only via the UI

Medium

Auto-block keyword feature silently filters records from exports

Medium

Drip campaign and automation logic cannot be exported

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

  • Ringy has no public API — all extraction is CSV via the UI

    Ringy provides no REST endpoint, developer documentation, or programmatic data access. Every migration relies on the 'Generate CSV' function inside the Lead export UI, which requires a logged-in user session and manual interaction. Large datasets may need to be split by date range or filter criteria. We cannot automate this extraction headlessly. During scoping, we verify the export path is accessible, confirm the 'Include all custom fields' checkbox is available, and establish the manual steps required for the customer's dataset size.

  • Auto-block keyword filtering may silently exclude records from exports

    Ringy's drip campaign system includes an auto-block feature that filters leads containing certain keywords from sequences and, in some cases, from the visible pipeline without notification. Records that have been auto-blocked may not appear in CSV exports. We audit the customer's auto-block keyword list during scoping and identify any blocked records that may have been excluded from the exported dataset before migration begins. This step is critical for data completeness and is a key differentiator in our scoping process.

  • Call recordings and detailed call metadata are not accessible for export

    Call history and recording files are stored within Ringy's built-in VOIP softphone and CRM activity log. There is no documented API or bulk export for call recordings or detailed call metadata such as disposition codes beyond what appears in the Lead activity timeline. We extract any call data present in the Lead CSV but flag call recording migration as out of scope. The customer should download any required recordings from Ringy's UI before the migration window if retention is required.

  • GoHighLevel pipeline and stage configuration must precede Deal import

    GoHighLevel Pipeline Deals require an active Pipeline with defined Stages to be created in the destination account before Deals can be imported. We provision the Pipeline and Stage configurations during the schema setup phase using the pipeline names and stage labels extracted from Ringy. If the customer has multiple Deal pipelines in Ringy, each maps to a separate GoHighLevel Pipeline with its own Stage set. Skipping this step results in Deal import failures due to invalid pipeline references.

Migration approach

Six steps for a successful Ringy (formerly iSales) to HighLevel data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Ringy (formerly iSales) logo

Ringy (formerly iSales)

Source

Strengths

  • Integrated calling, SMS, and email in a single flat-rate CRM reduces tool sprawl for sales teams
  • Cloud VOIP softphone with local ID display and call scripting directly in the CRM workflow
  • Mobile app with full CRM access for field and remote sales representatives
  • Drip campaign and automated follow-up sequencing to nurture leads without manual intervention
  • Color-coded UI and straightforward navigation that reviewers consistently describe as easy to learn

Weaknesses

  • No publicly documented API — all data extraction relies on the UI-based CSV export for Leads
  • Pricing model with add-ons (power dialer, AI tools) and usage-based calling/texting creates bill shock for heavy users
  • Auto-block keyword feature silently filters leads from the pipeline without user notification
  • Performance reported as sluggish at times, particularly under high-volume usage scenarios
  • SMS thread interface is difficult to follow for teams managing high volumes of text conversations
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?

Moderate CRM migration. 5 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Ringy (formerly iSales) and HighLevel.

  • Object compatibility

    C

    5 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

    Ringy (formerly iSales): Not publicly documented.

  • Data volume sensitivity

    B

    Ringy (formerly iSales) doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Ringy (formerly iSales) 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 Ringy (formerly iSales) to HighLevel data migrations

Answers to the questions buyers ask most during Ringy (formerly iSales) to HighLevel migration scoping. Not seeing yours? Book a call.

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Most migrations land between two and four weeks for accounts under 10,000 Leads with no custom objects and clean CSV exports. Migrations exceeding 25,000 records, requiring manual CSV splitting, involving extensive custom field reconciliation, or including multi-pipeline Deal structures move to five to eight weeks because of the manual CSV extraction steps, auto-block audit work, and GoHighLevel custom field provisioning.

Adjacent paths

Related migrations to explore

Ready when you are

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