CRM migration
Field-level mapping, validation, and rollback between Agillic and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Agillic
Source
HighLevel
Destination
Compatibility
8 of 11
objects map 1:1 between Agillic and HighLevel.
Complexity
BStandard
Timeline
3-5 weeks
Overview
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.
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 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
HighLevel
Contact
1:1Agillic 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
HighLevel
Task (Email type)
1:1Agillic 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
HighLevel
Note
1:1Agillic 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
HighLevel
Note
1:1Agillic 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
HighLevel
Task (SMS type)
1:1Agillic 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
HighLevel
Note
1:1Agillic 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
HighLevel
Custom Object
1:1Each 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
HighLevel
Custom Object Record
1:1Individual 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
HighLevel
Custom Text Field (hs_flow_execution_id)
lossyFlow 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
HighLevel
Email Template
lossyAgillic 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)
HighLevel
Tag
lossyAgillic 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.
| Agillic | HighLevel | Compatibility | |
|---|---|---|---|
| Recipient | Contact1:1 | Fully supported | |
| Activity: Email Send | Task (Email type)1:1 | Fully supported | |
| Activity: Email Open | Note1:1 | Fully supported | |
| Activity: Email Click | Note1:1 | Fully supported | |
| Activity: SMS Delivery | Task (SMS type)1:1 | Fully supported | |
| Activity: Event Trigger | Note1:1 | Fully supported | |
| Global Data Table | Custom Object1:1 | Fully supported | |
| Global Data Table Row | Custom Object Record1:1 | Fully supported | |
| Flow Execution History | Custom Text Field (hs_flow_execution_id)lossy | Fully supported | |
| Template | Email Templatelossy | Fully supported | |
| Audience Segment (Google/Meta) | Taglossy | 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.
Agillic gotchas
Undocumented API rate limits complicate bulk migration planning
Fully custom schema requires mandatory field enumeration during discovery
Flows are not exportable as portable workflow definitions
Activity Export requires explicit Flow Execution ID enablement
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
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.
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.
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.
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.
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.
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
Agillic
Source
Strengths
Weaknesses
HighLevel
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Agillic and HighLevel.
Object compatibility
1 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
Agillic: Not publicly documented — limited per production instance per day.
Data volume sensitivity
Agillic 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
Pick a category, then your source and destination platforms.
Category
FAQ
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