CRM migration

Migrate from Agillic to HighLevel

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

Agillic logo

Agillic

Source

HighLevel

Destination

HighLevel logo

Compatibility

73%

8 of 11

objects map 1:1 between Agillic and HighLevel.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Agillic to GoHighLevel is a structural migration that restructures a Nordic omnichannel marketing automation platform into an all-in-one agency CRM. Agillic's core entity is the Recipient, a fully customisable person record with arbitrary client-defined properties and a rich Activity log tied to Flow Execution IDs. GoHighLevel uses Contacts with a standard field set plus Custom Objects that you define at migration time. The critical first step is enumerating every active custom recipient property via Agillic's Recipient API or bulk export before designing the GoHighLevel schema — a step that has no equivalent on the source side because Agillic enforces no schema constraint. We migrate the activity timeline as GoHighLevel Tasks and notes, preserve Flow Execution IDs as custom text fields for audit, and deliver Global Data Table schemas as GoHighLevel Custom Object definitions requiring manual recreation. Agillic Flows, Templates, and Audience segments do not migrate; we deliver a written inventory for manual rebuild in GoHighLevel's automation builder.

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

Agillic logo

Agillic

What's pushing teams away

  • Rate limits and API quotas are not publicly documented, creating uncertainty for teams planning large-scale data migrations or integrations.
  • The platform's heavy reliance on developer configuration for data synchronisation, custom flow elements, and content templates means marketing teams without technical support encounter bottlenecks.
  • Complex workflow logic built by developers becomes difficult for non-technical marketers to modify independently, limiting operational agility.
  • Exporting Activity data requires external analysis tools; Agillic itself lacks built-in advanced analytics dashboards for post-campaign insight generation.

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 Agillic objects map to HighLevel

Each row shows how a Agillic 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.

Agillic

Recipient

maps to

HighLevel

Contact

1:1
Fully supported

Agillic Recipients map to GoHighLevel Contacts. Every standard recipient property (email, firstName, lastName, mobilePhone, language) maps directly. Client-defined custom recipient properties require enumeration during discovery before we can design the GoHighLevel field mapping — there is no fixed Agillic schema to reference.

Agillic

Activity: Email Send

maps to

HighLevel

Task (Email type)

1:1
Fully supported

Agillic email send events map to GoHighLevel Tasks with the Email tag. Subject line, send timestamp, and recipient ID transfer. The Agillic Flow Execution ID appends to a custom text field for campaign attribution audit.

Agillic

Activity: Email Open

maps to

HighLevel

Note

1:1
Fully supported

Agillic email open events map to GoHighLevel Notes on the Contact record. Each open timestamp creates a separate Note entry with the campaign name and Flow Execution ID for attribution reconstruction.

Agillic

Activity: Email Click

maps to

HighLevel

Note

1:1
Fully supported

Agillic email click events map to Notes with URL, timestamp, and campaign attribution. Click events without an associated send event are logged as stand-alone Notes.

Agillic

Activity: SMS Delivery

maps to

HighLevel

Task (SMS type)

1:1
Fully supported

Agillic SMS delivery events map to GoHighLevel Tasks tagged as SMS. Delivery timestamp and recipient ID transfer. The Flow Execution ID preserves in a custom field.

Agillic

Activity: Event Trigger

maps to

HighLevel

Note

1:1
Fully supported

Agillic event trigger activities (custom event types fired from flows) map to Notes with event type, timestamp, and payload attributes extracted as Note body text.

Agillic

Global Data Table

maps to

HighLevel

Custom Object

1:1
Fully supported

Each Agillic Global Data Table maps to a GoHighLevel Custom Object. We export the table schema (column names and types) and all row data. GoHighLevel Custom Objects support Unique Fields per table, which we configure based on the Agillic primary key logic.

Agillic

Global Data Table Row

maps to

HighLevel

Custom Object Record

1:1
Fully supported

Individual rows from an Agillic Global Data Table import as records in the corresponding GoHighLevel Custom Object. Lookup relationships between tables map to GoHighLevel Custom Object reference fields that we configure during schema design.

Agillic

Flow Execution History

maps to

HighLevel

Custom Text Field (hs_flow_execution_id)

lossy
Fully supported

Flow Execution IDs from Agillic do not map to a native GoHighLevel object. We preserve them as custom text fields on the Contact record (hs_flow_execution_ids__c) as a comma-separated list for audit and campaign attribution reconstruction.

Agillic

Template

maps to

HighLevel

Email Template

lossy
Fully supported

Agillic email and SMS templates export as HTML/text content. We deliver template content and field mappings as a structured document for manual recreation in GoHighLevel's email template builder. HTML templates require content refactoring because GoHighLevel uses a block-based editor rather than raw HTML paste.

Agillic

Audience Segment (Google/Meta)

maps to

HighLevel

Tag

lossy
Fully supported

Agillic audience segments built for Google and Meta activation are delivered as GoHighLevel Tag definitions. The membership logic (filter conditions on recipient properties) is documented for manual rebuild in GoHighLevel's tagging and segmentation system.

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.

Agillic logo

Agillic gotchas

High

Undocumented API rate limits complicate bulk migration planning

High

Fully custom schema requires mandatory field enumeration during discovery

Medium

Flows are not exportable as portable workflow definitions

Medium

Activity Export requires explicit Flow Execution ID enablement

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

  • Custom recipient schema requires mandatory enumeration before mapping

    Agillic allows clients to define arbitrary custom properties on Recipients with no platform-enforced field list. Each client's schema is unique and there is no single documented reference for all possible fields. We cannot design GoHighLevel Custom Fields until we have enumerated every active recipient property via the Recipient API or bulk export. Missing fields during migration result in silent data loss for those attributes. We treat this enumeration as a required discovery deliverable before migration begins.

  • Undocumented Agillic API rate limits require proactive confirmation

    Agillic's REST API is rate limited per production instance per day, but specific thresholds are not publicly documented. If we exceed these limits during migration, the API returns 429 errors and stops accepting requests. We implement exponential backoff and use WebDAV/SFTP Activity Export endpoints as a parallel ingestion path when API calls are throttled. We recommend requesting Agillic support to confirm current rate limit values before scoping a large-volume migration.

  • GoHighLevel Custom Objects require pre-creation before data import

    GoHighLevel Custom Objects and their Custom Fields must be created in the platform before any data can be imported. This differs from GoHighLevel's standard Contact fields which are pre-seeded. We design the Custom Object schema during discovery, create it in the GoHighLevel sandbox, validate the data structure, and only then proceed to production migration. Skipping this step results in import failures for any Custom Object data.

  • Flow Execution IDs do not have a native GoHighLevel equivalent

    Agillic's Flow Execution ID uniquely identifies each campaign trigger instance and is appended to Activity Exports when enabled. GoHighLevel does not have a native Flow Execution ID concept on its Contact timeline. We preserve Flow Execution IDs as a custom text field (hs_flow_execution_ids__c) on each Contact, storing execution IDs as a comma-separated list. This allows audit and attribution reconstruction but requires manual query for campaign analysis.

  • GoHighLevel usage-based SMS and email costs require separate budgeting

    GoHighLevel's base subscription ($97-$497/month) includes the platform but SMS and email use usage-based pricing (approximately $0.0079 per SMS segment and $0.675 per 1,000 emails sent). Agillic includes channel costs within its per-user pricing at higher tiers. Teams migrating from Agillic should budget for GoHighLevel's separate communication costs, which can represent a significant portion of monthly spend for high-volume SMS or email campaigns.

Migration approach

Six steps for a successful Agillic to HighLevel data migration

  1. Schema enumeration and discovery

    We extract the complete Agillic recipient schema using the Recipient API (GET /recipients with all properties returned) and cross-reference with a Recipients Export snapshot. We enumerate every active custom recipient property, its data type, and its usage frequency. We also extract Global Data Table schemas, Flow names and trigger events, and confirm whether the Flow Execution ID setting is enabled under Settings > System Settings > Export > Activity Exports. We audit the complete Activity history date range and volume per channel.

  2. GoHighLevel schema design

    We design the GoHighLevel destination schema based on the Agillic enumeration. Standard recipient fields (email, name, phone, language, opt-in flags) map to GoHighLevel Contact standard fields. Custom recipient properties become GoHighLevel Custom Fields of matching type. Each Agillic Global Data Table becomes a GoHighLevel Custom Object with Unique Fields configured per the Agillic primary key logic and reference fields for foreign key relationships. We create this schema in a GoHighLevel sandbox first for validation.

  3. Sandbox migration and reconciliation

    We run a full migration into GoHighLevel sandbox using production-like data volume. The customer reconciles record counts (Contacts imported, Custom Object records imported, Activity Notes created), spot-checks 25-50 random Contacts against the Agillic source for field accuracy and custom property completeness, and verifies that Activity timelines reconstruct correctly on Contact records. Any mapping corrections happen here, not in production.

  4. Production migration in dependency order

    We run production migration in record-dependency order. Contacts import first using email as the dedupe key. Custom Objects import second, with Unique Fields preventing duplicates. Global Data Table rows import third, resolving reference fields to Custom Object records. Activity history (email send/open/click, SMS, events) imports last as Notes and Tasks on the Contact record, preserving timestamps. Each phase emits a row-count reconciliation report before the next phase begins.

  5. Flow Execution ID preservation and template handoff

    We preserve Agillic Flow Execution IDs as custom text fields on the relevant Contact records. We deliver a written inventory of every Agillic Flow (name, trigger, associated channels, and execution frequency) mapped to a recommended GoHighLevel Workflow equivalent. We deliver Template content and field mapping documentation for manual rebuild in GoHighLevel's email builder. We do not rebuild Flows, Templates, or automation logic in GoHighLevel as part of the migration scope.

  6. Cutover, validation, and post-migration support

    We freeze Agillic writes during cutover, run a final delta migration of any records modified during the migration window, then enable GoHighLevel as the system of record. We deliver a reconciliation report comparing Agillic record counts against GoHighLevel import counts. We support a one-week hypercare window to resolve data issues raised by the customer's team. We do not provide post-migration admin training, GoHighLevel Workflow rebuild, or ongoing support as standard scope.

Platform deep dives

Context on both ends of the pair

Agillic logo

Agillic

Source

Strengths

  • Fully customisable recipient schema with no fixed field constraints.
  • Native omnichannel support: email, SMS, push, print, paid media, and point-of-sale.
  • GDPR compliance built-in with annual independent security audits.
  • Staging and production separation for safe campaign testing.
  • Real-time audience activation to Google and Meta.

Weaknesses

  • API rate limits are not publicly documented, complicating migration planning.
  • Heavy developer dependency for data sync, custom flows, and content templates.
  • No built-in advanced analytics — requires external BI tools for activity analysis.
  • Workflows (Flows) are tightly coupled to Agillic's execution engine, making cross-platform migration requires reimplementation.
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. 1 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 Agillic and HighLevel.

  • Object compatibility

    B

    1 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

    Agillic: Not publicly documented — limited per production instance per day.

  • Data volume sensitivity

    B

    Agillic doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Agillic 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 Agillic to HighLevel data migrations

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

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Small migrations under 5,000 Recipients with fewer than 20 custom fields and no Global Data Tables land between $4,500 and $6,500 and complete in three to five weeks. Medium migrations with Global Data Table migration (requiring Custom Object schema design), high-volume Activity histories (over 200,000 records), or multiple template migrations move to $8,000-$14,000 and eight to twelve weeks. The discovery and schema enumeration phase is the critical path item for all Agillic migrations because the custom schema must be fully enumerated before any GoHighLevel field mapping can begin.

Adjacent paths

Related migrations to explore

Ready when you are

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