CRM migration

Migrate from Act-On to HighLevel

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

Act-On logo

Act-On

Source

HighLevel

Destination

HighLevel logo

Compatibility

70%

7 of 10

objects map 1:1 between Act-On and HighLevel.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Migrating from Act-On to GoHighLevel is a platform consolidation move: Act-On focuses on marketing automation (email, SMS, Program-based nurture) while GoHighLevel bundles CRM, funnels, pipeline management, scheduling, and reputation tools under one subscription. We extract Contact records with their engagement scores, List membership, and historical activity logs, then map them to GoHighLevel's Contact object with custom fields for Act-On-specific properties. Act-On's Automated Programs (multi-step nurture sequences) do not export via API and must be rebuilt in GoHighLevel's Workflow engine using Program membership data as a reference blueprint. GoHighLevel distinguishes between Contact custom fields and Opportunity custom fields, and this split must be designed during scoping because field types cannot be changed post-creation. Email deliverability in GoHighLevel runs on shared LC Email infrastructure; we flag this for customers whose primary channel is email and advise on dedicated sending domain warm-up post-migration.

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

Act-On logo

Act-On

What's pushing teams away

  • Feature gaps in email composer quality and CRM integration force teams to layer on additional tools, increasing stack complexity and cost.
  • Performance and reporting depth lag behind competitors at similar price points, making it harder to justify ROI to leadership.
  • Pricing is perceived as high relative to the value delivered, especially as teams scale contact volumes and hit tier limitations.
  • Users report that Act-On feels less suitable as companies grow beyond mid-market requirements and need more sophisticated pipeline management.

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 Act-On objects map to HighLevel

Each row shows how a Act-On 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.

Act-On

Contact

maps to

HighLevel

Contact

1:1
Fully supported

Act-On Contact records migrate directly to GoHighLevel Contact. Standard fields (name, email, phone, company) map cleanly. Act-On lifecycle stage, source tracking, and engagement score migrate to custom Contact fields we create during schema setup. GoHighLevel does not have a native lifecycle stage field; we create a custom field act_lifecycle_stage__c to preserve the original value for segmentation reference.

Act-On

Company

maps to

HighLevel

Account

1:1
Fully supported

Act-On Companies map to GoHighLevel Account. Company name, industry, and address fields map to Account name, industry classification, and billing address. The one-to-many Contact-to-Company relationship resolves during import: each Contact record carries the parent Company identifier and we attach it to the Account via GoHighLevel's Contact-to-Account link.

Act-On

List

maps to

HighLevel

Tag

lossy
Fully supported

Act-On Lists are audience segments used for campaign targeting. We preserve List membership as GoHighLevel Tags on the Contact record. Static Lists (manually maintained) produce definitive tags. Dynamic Lists (rule-based) we flag as requiring Smart List recreation in GoHighLevel because the rule definition does not export. We provide a List-to-Tag mapping table as part of the migration inventory.

Act-On

Program (Automated Workflow)

maps to

HighLevel

Custom Contact Field (membership reference)

lossy
Fully supported

Act-On Programs are multi-step nurture sequences with defined entry criteria, branches, and delays. The Program definitions do not export via API. We extract which Contacts entered which Programs and when, and we write Program names and entry dates into custom Contact fields (e.g., program_name__c, program_entry_date__c). This historical record informs the GoHighLevel Workflow rebuild, which the customer's admin executes using that data as a reference blueprint.

Act-On

Email

maps to

HighLevel

Contact Activity Log

1:1
Fully supported

Act-On email send history, subject lines, and engagement events (opens, clicks) migrate as entries in GoHighLevel's Contact activity timeline. We write timestamped activity records for each email event with the subject and engagement type preserved. HTML content does not transfer as a reusable template in GoHighLevel; we document template names and content as a separate asset inventory for the customer's team to rebuild.

Act-On

Form

maps to

HighLevel

Contact Custom Fields (field definitions)

lossy
Fully supported

Act-On form field definitions and submission data migrate. We write submission records as GoHighLevel Contact entries with form field data mapped to custom Contact fields named for the original form field. The form embed code does not transfer; GoHighLevel Forms replace Act-On web forms, and we document the mapping from each Act-On form to its GoHighLevel equivalent.

Act-On

Custom Data Schema / Custom Objects

maps to

HighLevel

Custom Objects or Contact Custom Fields

1:1
Mapping required

Act-On's Custom Data schemas define user-extended fields on Contact or Company. We read the schema definition via Act-On's Custom Objects API, export existing records, and write them to GoHighLevel. If the Act-On custom field is contact-level (one value per contact), we create an equivalent GoHighLevel Contact custom field. If the Act-On custom object represents a related entity (e.g., a property linked to a contact), we create a GoHighLevel Custom Object with a relationship to Contact.

Act-On

Engagement Score

maps to

HighLevel

Contact Custom Field

1:1
Fully supported

Act-On calculates engagement scores using proprietary weighting across email opens, clicks, page visits, and form submissions. These formulas do not export. We migrate the current numeric score as a static Contact custom field (act_engagement_score__c). Score recalculation must be configured manually in GoHighLevel using GoHighLevel's own scoring rules or a third-party scoring integration.

Act-On

Activity / History

maps to

HighLevel

Contact Activity Log

1:1
Fully supported

Email opens, clicks, form submissions, and other behavioral events export as timestamped activity log entries on the GoHighLevel Contact record. Activity types map to GoHighLevel activity categories. Large activity volumes (over 200,000 records) we chunk by date range to manage API throughput and avoid timeout failures.

Act-On

Tag

maps to

HighLevel

Tag

1:1
Fully supported

Act-On Contact and Company tags export as label arrays. We map them directly to GoHighLevel Tags on the Contact record. Tags used for classification (e.g., industry, intent level) migrate verbatim; the customer decides whether to use tags as GoHighLevel Smart List membership criteria or as purely descriptive labels.

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.

Act-On logo

Act-On gotchas

High

ACT! desktop CRM and Act-On marketing automation are different products

Medium

Automated Program logic does not export

Medium

Engagement score formulas are not transferable

Low

Bulk API is not publicly documented

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

  • Act-On Program logic does not transfer to GoHighLevel Workflows

    Act-On's Program builder defines multi-step nurture sequences with conditional branches and time delays. These Program definitions are not accessible via the Act-On API and cannot be exported as code. We extract Program membership (which Contacts entered which Programs and when) as custom Contact fields in GoHighLevel, giving the customer's admin a reference blueprint. The GoHighLevel Workflow engine must be rebuilt using that data as the sequence guide. This is a manual rebuild scope; we document each Program with its steps, entry criteria, and timing, but we do not execute the rebuild.

  • GoHighLevel custom field type is permanent after creation

    GoHighLevel distinguishes between Contact custom fields and Opportunity custom fields, and once a field is created as one type it cannot be switched. This matters during Act-On custom data schema migration: if a field exists on both Contact and Company in Act-On, we must decide upfront which GoHighLevel object hosts the equivalent and whether a second field is needed on the other object. We confirm field type decisions during schema design before any fields are created in GoHighLevel.

  • GoHighLevel email deliverability requires dedicated domain warm-up

    GoHighLevel's LC Email infrastructure (built on Mailgun) uses shared IP reputation across all users on the platform. Reviewers consistently report lower inbox placement rates compared to dedicated email platforms like ActiveCampaign or Klaviyo. We flag this during migration for customers whose primary marketing channel is email. The recommended mitigation is warming up a dedicated sending domain and properly configuring SPF/DKIM/DMARC records before sending campaigns from GoHighLevel. We do not manage DNS configuration but we document the warm-up steps required.

  • Engagement score formulas from Act-On do not recalculate automatically in GoHighLevel

    Act-On engagement scores use proprietary weighting rules across opens, clicks, page visits, and form submissions. These rules do not export. We migrate the current numeric score as a static custom field value, but GoHighLevel will not recalculate it using Act-On's logic. Customers who rely on engagement scores for lead prioritization must configure GoHighLevel's native scoring or integrate a third-party scoring tool. We document the score distribution from Act-On so the customer can set comparable thresholds in the new scoring model.

Migration approach

Six steps for a successful Act-On to HighLevel data migration

  1. Discovery and schema design

    We audit the Act-On portal: Contact volume, Company volume, List definitions (static vs dynamic), custom data schema fields, active Programs, engagement history volume, and owner assignments. In GoHighLevel, we design the custom field schema distinguishing Contact custom fields from Opportunity custom fields before creation. We define the List-to-Tag mapping strategy and document each Act-On Program as a written blueprint with its sequence steps, entry criteria, and timing for the customer's admin to rebuild in GoHighLevel Workflows.

  2. GoHighLevel sandbox setup and field creation

    We create a GoHighLevel sub-account or use the main account in a non-production state to validate the custom field schema, pipeline configuration, and tag structure before production migration. Custom fields are created with their correct types (Contact vs Opportunity), and any field that needs to exist on both objects gets created twice under separate names. Pipelines and stages are configured to match the Act-On deal pipeline structure, and tags are pre-created to match the Act-On List names.

  3. Act-On data extraction with transformation

    We extract Contacts, Companies, engagement history, List memberships, Program memberships, custom data records, and tags from Act-On using the REST API with Bearer JWT authentication. Large record sets are chunked to stay within undocumented throttling limits. We apply field transformations: lifecycle stage to custom Contact field, owner email to GoHighLevel user lookup, company name to Account lookup resolution, List membership to Tags. We produce a transformation manifest showing source value, destination field, and transformation rule for customer review.

  4. Production migration with dependency order

    We migrate in record dependency order: Companies (to Account), then Contacts (with AccountId resolved and Tags applied), then engagement history (as Contact activity log entries), then custom data records, then Deal data to Opportunities. Each phase emits a row-count reconciliation report. Any record with an unresolved owner, invalid email, or missing required field is logged to a correction queue for the customer to address before that phase retries.

  5. Program membership handoff and Workflow rebuild documentation

    We deliver the Program membership data as a structured document mapping each Act-On Program to its enrolled Contacts with entry dates. This document serves as the blueprint for rebuilding the Program logic in GoHighLevel Workflows. We do not rebuild the Workflows as part of the migration scope; that work is handled by the customer's admin or a GoHighLevel implementation partner using the membership data as a reference.

  6. Cutover, validation, and post-migration support

    We freeze Act-On writes during the cutover window, run a final delta migration of any records modified during the migration period, then enable GoHighLevel as the system of record. We validate record counts across all objects, spot-check a sample of Contact records for data accuracy, and confirm Tag distribution matches the original List distribution. We provide a one-week hypercare window to resolve any reconciliation issues raised by the customer's team. Email deliverability warm-up guidance is delivered as a separate document.

Platform deep dives

Context on both ends of the pair

Act-On logo

Act-On

Source

Strengths

  • Embedded SMS marketing extends reach beyond email without an additional platform subscription.
  • Native engagement scoring gives a behavioural signal out of the box without third-party analytics.
  • Responsive support team with a reputation for hands-on help during setup and troubleshooting.
  • Segmented audience management via Lists allows targeted campaign execution without complex queries.
  • User-friendly interface lowers the learning curve for marketing teams without dedicated ops resources.

Weaknesses

  • CRM integration capabilities lag behind competitors, often requiring workarounds or third-party middleware.
  • Reporting depth is shallower than HubSpot or Salesforce, making multi-touch attribution difficult.
  • Pricing relative to feature set draws criticism as teams scale and hit tier ceilings.
  • Limited custom object flexibility compared to platforms with a full schema designer.
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 Act-On 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

    Act-On: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Act-On 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 Act-On to HighLevel data migrations

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

Can't find your answer?

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Most Act-On to GoHighLevel migrations land between two and three weeks for accounts under 10,000 Contacts with straightforward field mapping and no custom data schemas. Migrations with custom data schemas, multiple Programs requiring documentation, or large engagement history volumes (over 200,000 activity records) extend to four to six weeks. The GoHighLevel Workflow rebuild (Program rebuild by the customer) runs in parallel and extends beyond the data migration scope.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Act-On.
Land in HighLevel, intact.

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