The Ultimate Keap to HighLevel Migration Guide (2026)

Migrating from Keap (formerly Infusionsoft) to GoHighLevel is a data-architecture problem disguised as a CSV import. Keap uses a tag-heavy, campaign-builder model where segmentation logic, automation triggers, and contact lifecycle state are all encoded in tags and multi-step campaign sequences. HighLevel is contact-centric with pipeline-driven workflows — a fundamentally different approach to organizing the same business processes.

A naive CSV export flattens your tag history, silently drops tag associations, and leaves you with zero automation logic on the other side. Keap's standard contact export includes custom fields but not tags. HighLevel spreads CRM data across Contacts, Companies, Opportunities, Notes, Tasks, and Custom Objects. That mismatch is why small migrations can survive on CSV, but serious migrations need API work or a managed ETL. (help.keap.com)

This guide covers the structural mismatch between the two platforms, every viable migration method and its trade-offs, the API constraints that will bottleneck your scripts, and the edge cases that break most DIY attempts.

If you're migrating from a different CRM to HighLevel, see our Salesforce to GoHighLevel migration guide or Close to GoHighLevel migration guide for comparisons against HighLevel's data model.

Why Companies Migrate from Keap to GoHighLevel

The migration drivers fall into three categories:

• Cost consolidation. Keap Pro and Max pricing scales per-contact, and adding SMS, funnels, or scheduling means stacking third-party subscriptions on top. GoHighLevel bundles CRM, pipeline management, funnel builder, email/SMS, appointment scheduling, and reputation management into a single flat-rate subscription. (gohighlevel.com)
• Campaign Builder fatigue. Keap's visual Campaign Builder — with its decision diamonds, tag sequences, and nested goals — is powerful but creates brittle, hard-to-audit automation logic. HighLevel's workflow builder covers most of those use cases with a simpler trigger-action-condition model.
• Agency model fit. GoHighLevel was built for agencies. Its sub-account architecture lets agencies white-label and manage dozens of client accounts under one roof — something Keap was never designed to do. (marketplace.gohighlevel.com)

Keap vs. HighLevel: Core Architecture Differences

Understanding the structural mismatch before you export a single record is what separates a clean migration from weeks of manual cleanup.

The biggest conceptual shift: Keap tags carry business logic. A tag like Purchased-Product-X-2024 fires campaign sequences. In HighLevel, workflows carry that logic. Tags still exist as labels, but the intelligence moves into the workflow engine. You can't just import tags — you need to decide which tags map to pipeline stages, which become workflow triggers, and which are informational labels.

Migration Approaches: CSV, API, Middleware, ETL, and Managed Service

There are five viable methods. Each has a different ceiling for data volume, relationship preservation, and automation coverage.

1. Native CSV Export/Import

How it works: Export contacts from Keap as CSV (Contacts > People > Export), then import into HighLevel (Contacts > Import Contacts). Map columns to HighLevel fields during upload. For over 1,000 contacts, Keap emails a download link. (help.gohighlevel.com)

When to use it: Sub-5,000 contacts with few custom fields, no complex tag logic, and no pipeline data to preserve.

Constraints that will surprise you:

• Tags are not included in Keap's CSV export. You need the Tag Tracker report to match exported Contact IDs with applied tags, then merge the data manually before importing. (help.keap.com)
• Custom fields must be manually recreated in HighLevel's Settings > Custom Fields before the import — the CSV import cannot create new fields on the fly. HighLevel's own Keap migration guide explicitly instructs users to rebuild custom fields and tags first. (help.gohighlevel.com)
• Pipeline/Opportunity data is not part of the contact export. You need a separate export. HighLevel caps opportunity CSV files at 30 MB, requires each opportunity to reference a valid contact, and says imports cannot be undone. (help.gohighlevel.com)
• Company import is indirect. HighLevel creates companies from the contact's Business Name during CSV import; standalone company CSV import is not supported. (help.gohighlevel.com)
• Automation logic does not transfer. Campaign sequences, triggers, and decision trees must be documented manually and rebuilt.

For a deeper breakdown of where CSV-based migrations break down, see Using CSVs for SaaS Data Migrations: Pros and Cons.

Complexity: Low | Scalability: Small datasets only

2. API-Based Custom Migration (Keap REST API → HighLevel V2 API)

How it works: Write extraction scripts against Keap's REST API to pull contacts, tags, companies, and opportunities programmatically. Transform the data to match HighLevel's schema. Push records into HighLevel via its V2 API endpoints.

When to use it: 10,000+ contacts, complex tag structures, pipeline data that needs mapping, or need for repeatable and auditable migration logic.

Key API constraints:

• Keap enforces a spike limit of 25 requests per second per application, with daily quotas that vary by key type. PAT/SAK quotas are not adjustable. Monitor x-keap-product-throttle-available and x-keap-product-quota-available response headers to avoid 429 errors. (developer.keap.com)
• Keap's v1 API uses limit/offset pagination; v2 uses cursor/token-based pagination. Some resources exist only in v2, and the v2 surface is still evolving — verify endpoint availability before building against it.
• HighLevel's V2 API enforces a burst limit of 100 requests per 10 seconds and a daily cap of 200,000 requests per app per resource. Exceeding the burst limit can result in temporary IP blocks. (help.gohighlevel.com)
• HighLevel's contacts endpoint returns a maximum of 100 contacts per request (default is 20). Use startAfter and startAfterId parameters to paginate through large datasets.
• Keap's OAuth 2.0 access tokens expire after 24 hours. Your scripts must handle refresh token rotation explicitly.

Keap's developer guide also warns against using the API for continuous or overtly frequent sync/export, so use filtered queries, checkpoints, and backoff rather than brute-force scans. (developer.infusionsoft.com)

Complexity: High | Scalability: Enterprise-grade with proper engineering

3. Middleware Platforms (Zapier, Make, n8n)

How it works: Create Zaps or Make scenarios that trigger on Keap events (or scheduled pulls) and push records into HighLevel. Both platforms have native connectors for Keap and HighLevel.

When to use it: Ongoing sync of new records after a bulk migration is complete, or low-volume delta sync during a phased cutover. Not suitable for bulk historical data transfer.

Why this fails for migrations:

• Zapier and Make are designed for event-driven, record-by-record automation — not bulk extraction of historical datasets.
• You'll quickly hit Keap's throttle when trying to backfill, and task-based pricing on these platforms makes large-volume processing expensive.
• No native support for preserving relationships (e.g., linking a contact to an opportunity in a single transaction).
• Replay and idempotency are usually weak unless you add storage or custom code.
• Order-of-operations problems are common — creating an opportunity before its linked contact exists will fail silently or require retries.

Complexity: Low–Medium | Scalability: New records and deltas only

4. Custom ETL Pipeline

How it works: Build a dedicated Extract-Transform-Load pipeline (Python/Node.js scripts, or a tool like Airbyte or Meltano) that reads from Keap's API, transforms data into HighLevel's schema in an intermediate staging layer (database or structured files), then writes to HighLevel's API with full error handling, retry logic, and validation.

When to use it: Large datasets (50K+ contacts), complex tag-to-workflow mapping, need for an auditable and repeatable process, or when you're running the same migration for multiple Keap accounts (agency scenario).

Strengths: Best control, best observability, best path for replaying failures without starting over.

Trade-offs: Highest build cost and longest lead time. Easy to overbuild if your migration is actually simple.

Complexity: High | Scalability: Best for large/complex migrations

5. Managed Migration Service

How it works: A dedicated migration team handles extraction, mapping, transformation, loading, validation, and post-migration support. The engineering burden shifts entirely off your team.

When to use it: When your engineering team doesn't have bandwidth, when you can't afford downtime or data loss, or when the tag/custom-field complexity makes DIY too risky.

Complexity: Low (for you) | Scalability: Any dataset size

Migration Method Comparison

Which Approach for Your Scenario?

• Small business (< 5K contacts, simple tags, no pipeline): CSV export/import with manual tag recreation. Budget a full day of manual work.
• Mid-market (5K–50K contacts, structured tags, active pipeline): API-based custom migration or managed service. The tag-to-workflow mapping alone requires careful planning.
• Enterprise/Agency (50K+ contacts, multiple pipelines, complex automations): Custom ETL pipeline or managed service. The API rate limits on both sides require production-grade throttling logic.
• Ongoing sync needed: Do the initial bulk migration via API or managed service first. Then layer API-based scripts or middleware for the ongoing delta piece. Do not try to turn Zapier into a bulk migrator.

Data Mapping: Translating Keap Objects to HighLevel

This is where migrations succeed or fail. The mapping decisions you make here cascade into every workflow, report, and automation in HighLevel.

Object-Level Mapping

Field-Level Mapping

Handling Tags: The Hardest Part of This Migration

Keap power users often have hundreds or thousands of tags encoding business state. Before importing anything:

1. Audit your tags. Export the full tag list from Keap. Classify each tag as:

   • Informational (e.g., Source-Facebook-Ad) → migrate as HighLevel tag
   • Lifecycle/Status (e.g., Customer-Active, Lead-Qualified) → map to Pipeline stage
   • Automation trigger (e.g., Send-Welcome-Sequence) → document the associated campaign, then rebuild as HighLevel workflow trigger
   • Obsolete → don't migrate

2. Create tags in HighLevel first. Tags must exist in HighLevel before you import contacts with those tags.

3. Flatten multi-tag logic. Where Keap used combinations of tags to represent a single state (e.g., Purchased + Product-A + 2024), decide whether to preserve that as three HighLevel tags or combine into one descriptive tag or a custom field value.

4. Account for tag application dates. Keap stores when a tag was applied to a contact. This metadata is not available in the standard CSV export and requires API extraction. If tag application timestamps matter to your reporting, CSV migration loses this data permanently.

API Rate Limits and Extraction Constraints

Both platforms impose rate limits that will bottleneck any programmatic migration if you don't plan for them.

Keap API Limits

HighLevel API Limits

Engineering Around the Limits

Your migration script must implement:

1. Adaptive throttling on the Keap side. Read x-keap-product-throttle-available on every response. If it drops below a threshold (e.g., 100), back off with exponential delay. Don't rely on a static sleep timer — the token bucket refills dynamically.
2. Cursor-based pagination on HighLevel. After each GET request, capture the last contact's id and sortTimestamp to populate startAfterId and startAfter for the next page.
3. Batch writes with delay. On the HighLevel side, space POST/PUT requests to stay under 10 requests/second to maintain headroom below the 100/10s burst cap.
4. Token refresh automation. Keap's 24-hour token expiry means long-running migrations need automatic refresh token rotation baked in.
5. Idempotent loaders. Store source IDs in HighLevel custom fields and check before creating records to avoid duplicates on retry.

# Pseudocode: Keap contact extraction with adaptive throttling
import requests
import time
 
BASE_URL = "https://api.infusionsoft.com/crm/rest/v1"
TOKEN = "your_oauth_access_token"
 
def fetch_contacts(offset=0, limit=200):
    headers = {
        "Authorization": f"Bearer {TOKEN}",
        "Content-Type": "application/json"
    }
    params = {"offset": offset, "limit": limit, "optional_properties": "custom_fields,tag_ids"}
    
    resp = requests.get(f"{BASE_URL}/contacts", headers=headers, params=params)
    
    if resp.status_code == 429:
        retry_after = int(resp.headers.get("Retry-After", 5))
        time.sleep(retry_after)
        return fetch_contacts(offset, limit)
    
    # Adaptive throttling
    throttle_remaining = int(resp.headers.get("x-keap-product-throttle-available", 1000))
    if throttle_remaining < 100:
        time.sleep(2)  # Back off when approaching limit
    
    resp.raise_for_status()
    return resp.json()
 
def extract_all_contacts():
    all_contacts = []
    offset = 0
    while True:
        data = fetch_contacts(offset=offset)
        contacts = data.get("contacts", [])
        if not contacts:
            break
        all_contacts.extend(contacts)
        offset += len(contacts)
        time.sleep(0.1)  # Respect spike limit
    return all_contacts

# Pseudocode: HighLevel contact upsert with burst-limit handling
import requests
import time
 
GHL_BASE = "https://services.leadconnectorhq.com"
GHL_TOKEN = "your_highlevel_access_token"
LOCATION_ID = "your_location_id"
 
def create_contact(contact_data):
    headers = {
        "Authorization": f"Bearer {GHL_TOKEN}",
        "Content-Type": "application/json",
        "Version": "2021-07-28"
    }
    payload = {
        "locationId": LOCATION_ID,
        "firstName": contact_data["first_name"],
        "lastName": contact_data["last_name"],
        "email": contact_data["email"],
        "phone": contact_data.get("phone"),
        "tags": contact_data.get("tags", []),
        "customFields": contact_data.get("custom_fields", [])
    }
    
    resp = requests.post(f"{GHL_BASE}/contacts/", headers=headers, json=payload)
    
    if resp.status_code == 429:
        time.sleep(10)  # Back off on burst limit hit
        return create_contact(contact_data)
    
    resp.raise_for_status()
    return resp.json()
 
def batch_import(contacts, delay=0.15):
    results = {"success": 0, "failed": []}
    for contact in contacts:
        try:
            create_contact(contact)
            results["success"] += 1
        except Exception as e:
            results["failed"].append({"contact": contact["email"], "error": str(e)})
        time.sleep(delay)  # ~6-7 req/s, safe under burst limit
    return results

Pre-Migration Planning and Audit

Before you touch any export button or write any script:

Data Audit Checklist

• Contacts: Total count, active vs. opted-out vs. bounced. Decide what to exclude.
• Companies: Count, custom fields in use, contacts per company.
• Tags: Full list with contact counts. Classify each tag (informational, lifecycle, trigger, obsolete).
• Custom Fields: List all per record type. Note field types — Keap Drill-Down fields, List Box fields, and Radio fields all need special handling.
• Opportunities/Deals: Count, pipeline stages, associated contacts, deal values.
• Automations/Campaigns: Document every active campaign — triggers, sequences, decision diamonds, goals, tag applications. This is manual. Take screenshots.
• Appointments: Active appointment types, calendar integrations.
• Forms and Landing Pages: These don't migrate. Plan to rebuild in HighLevel's funnel builder.
• File Attachments: Keap allows files on contact records. HighLevel doesn't have equivalent contact-level file storage — plan an external storage strategy. (help.keap.com)
• Third-party integrations and webhooks.
• Reporting dependencies and dashboards.

Define Migration Scope

• Must move: live contacts, open deals, active tags, compliance-relevant notes, active custom fields
• Nice to have: closed-lost history older than X years, obsolete campaigns, dead tags
• Leave behind: abandoned fields, broken automations, stale imports, duplicate company records

Choose a Migration Strategy

For most Keap-to-HighLevel migrations, a parallel run is the safest path: populate HighLevel while Keap stays active, validate thoroughly, then cut over.

Migration Architecture and Load Order

A safe migration follows this sequence:

extract → stage → transform → load → validate

The load order matters because HighLevel opportunities require a valid contact link, companies need to exist before association, and every downstream record needs a valid parent:

1. Reference metadata: users, custom fields, tags, pipelines, stages
2. Companies (or company-driving contact fields)
3. Contacts (with company associations)
4. Notes, tasks, files metadata
5. Opportunities (after contact IDs exist in HighLevel)
6. Company/contact/opportunity relationship cleanup
7. Delta sync until cutover

For HighLevel retrieval workflows during validation, note that the legacy GET /contacts/ endpoint is deprecated — use the Search Contacts endpoint instead. (marketplace.gohighlevel.com)

# Migration orchestration structure
class MigrationRun:
    def extract_keap(self): ...
    def build_reference_maps(self): ...
    def ensure_highlevel_schema(self): ...
    def load_contacts(self): ...
    def load_companies_and_associations(self): ...
    def load_notes_and_tasks(self): ...
    def load_opportunities(self): ...
    def validate_counts(self): ...
    def write_checkpoint(self): ...
 
def backoff_retry(fn, *args, **kwargs):
    # exponential backoff + jitter
    ...
 
def migrate():
    run = MigrationRun()
    run.extract_keap()
    run.build_reference_maps()
    run.ensure_highlevel_schema()
    run.load_contacts()
    run.write_checkpoint()
    run.load_companies_and_associations()
    run.load_notes_and_tasks()
    run.load_opportunities()
    run.validate_counts()

Error handling essentials:

• Log every source ID and target ID pair
• Write failed rows to a dead-letter queue or retry table
• Make loaders idempotent
• Store batch manifests and checkpoints
• Never mix schema creation and bulk load in one blind pass

Edge Cases That Break DIY Migrations

Duplicate Records

HighLevel CSV imports check email and phone and merge matches. The API upsert endpoint follows the location's "Allow Duplicate Contact" setting and can choose whether email or phone wins when both are present. That's useful, but it can create false merges if your data hygiene is weak. Contacts with multiple email addresses (Email1, Email2, Email3 in Keap) can create duplicates in HighLevel if each email is treated as a separate record. Normalize to a single primary email before import. (help.gohighlevel.com)

Multi-Level Relationships

Keap's Company → Contact → Opportunity chain doesn't survive a flat CSV export. If you have 5 contacts at one company with 3 opportunities between them, a CSV will either duplicate the company data 5 times or lose the opportunity associations. API-based migration is the only way to preserve these relationships programmatically.

Keap can show multiple contacts on a deal. HighLevel opportunity import requires a single contact link, so for multi-contact deals you need a deliberate rule: pick a primary contact for the opportunity, preserve secondary stakeholders through company associations, notes, or followers. (help.keap.com)

Keap Drill-Down Custom Fields

Keap's Drill-Down field type (hierarchical dropdowns with categories and subcategories) has no direct equivalent in HighLevel. Flatten these into either multiple single-option fields or a text field with concatenated values.

File Attachments

Keap stores files on contact records. HighLevel doesn't have equivalent contact-level file storage — its file handling typically relies on File Upload custom fields. Download all files and store them externally (S3, Google Drive) with links in a HighLevel custom field, or accept that file data won't migrate with full parity. (help.keap.com)

Custom Objects

HighLevel supports Custom Objects on all plans as of October 2025, limited to 10 per sub-account. Each object can have its own fields, associations, and automations. But the support matrix is still partial: Custom Objects are not supported in Company, Conversations, Calendars, Payments & Invoicing, or bulk email/SMS surfaces. API support for creating associations between Custom Object records and other objects may require manual steps or workarounds until full API coverage ships. (help.gohighlevel.com)

If your Keap Max Classic instance uses more than 10 distinct custom object types, you'll need to consolidate or deprioritize.

Missing Identifiers

HighLevel relies on email addresses or phone numbers as unique identifiers. If Keap contacts lack both, HighLevel's API may reject the creation of the contact or fail to deduplicate properly.

Legacy Campaign Builder Logic

Keap Max Classic Campaign Builder sequences with complex decision diamonds, timers, and nested goals cannot be automatically translated to HighLevel workflows. Each campaign needs to be manually decomposed into trigger-action pairs and rebuilt. Budget significant time for this — it's often the most labor-intensive part of the project.

Validation and Testing

Never go live without a systematic validation pass.

Validation Checklist

1. Record count comparison. Total contacts, companies, and open opportunities in Keap vs. HighLevel. Any delta needs investigation.
2. Field-level sampling. Pull 50–100 random records and compare field values side-by-side (first name, email, phone, tags, custom fields). Use a stratified sample: newest leads, oldest customers, biggest open deals, records with attachments, records with the most tags.
3. Tag count verification. For each migrated tag, compare the contact count in Keap vs. HighLevel.
4. Pipeline validation. Verify every deal is in the correct stage with the correct contact association and deal value.
5. Custom field type check. Ensure dates are dates (not strings), dropdowns have the right options selected, and numeric fields didn't lose precision.
6. Duplicate scan. Run a deduplication check in HighLevel post-import.
7. Workflow smoke test. Trigger each rebuilt workflow with a test contact and verify the action chain fires correctly.
8. UAT with end users. Have sales ops, marketing ops, and end users validate real workflows: create contact, add tag, move stage, trigger workflow, create note, complete task, and confirm reporting.

Rollback Plan

Keep your Keap instance active and unchanged during the entire migration and validation period. If validation fails, you have an untouched source of truth.

HighLevel says opportunity imports cannot be undone. Your rollback is procedural: keep raw exports, staging tables, mapping manifests, and a tested delete/reload plan or a clean fallback sub-account. (help.gohighlevel.com)

Do not cancel your Keap subscription until you've completed at least one full business cycle (typically 2–4 weeks) in HighLevel with no data issues.

Post-Migration Tasks

• Rebuild automations. Use your documented campaign logic to create HighLevel workflows. Start with your highest-impact sequences (lead capture → follow-up, purchase → onboarding).
• Rebuild forms and funnels. Keap forms and landing pages don't transfer. Recreate them in HighLevel's funnel builder.
• Reconnect integrations. Any third-party tools connected to Keap (payment processors, calendar tools, Zapier triggers) need to be repointed to HighLevel.
• Train your team. HighLevel's UI and workflow logic are fundamentally different from Keap. Budget real training time.
• Monitor for 30 days. Watch for data inconsistencies, workflow misfires, missing contact records, duplicate merges, and company association drift.
• Run a final delta sync before decommissioning Keap.

Limitations to Be Honest About

Set expectations with stakeholders about what HighLevel cannot replicate from Keap:

• Custom Objects are limited to 10 per sub-account and are not supported across all HighLevel surfaces.
• No direct equivalent for Keap's Campaign Builder visual logic. HighLevel workflows are powerful but structurally different. Complex multi-path campaigns may need to be split into multiple simpler workflows.
• File attachments on contacts don't migrate natively. No contact-level file storage in HighLevel.
• Keap's tag-based reporting doesn't translate. Any reporting logic that depends on tag application order, tag combination queries, or tag-date filtering needs to be rebuilt using HighLevel's SmartLists and reporting tools.
• HighLevel V1 API is end-of-support. All new integrations must use V2 with OAuth 2.0.

Best Practices Summary

1. Back up everything before starting. Export all Keap data to CSV as a safety net, even if you're using the API for the actual migration.
2. Run a test migration first. Import a small batch (100–500 records) into a HighLevel test sub-account. Validate fields, tags, and pipeline stages before committing to a full run.
3. Classify tags before migrating. The tag audit is the single highest-ROI pre-migration activity.
4. Preserve source IDs everywhere. Store Keap IDs in HighLevel custom fields for replay, dedupe, and audit.
5. Keep Keap active during validation. Don't cancel until you've completed a full business cycle in HighLevel.
6. Document your Keap automations before you start. This is the most frequently skipped step and the one that causes the most pain.
7. Separate data migration from implementation. Moving data is one project; rebuilding automations and workflows is another. Staff and timeline them separately.
8. Design the HighLevel target model first. If you cannot explain where companies, tags, open deals, notes, files, owners, and automation triggers will live in HighLevel, you are not ready to migrate.

When to Use a Managed Migration Service

Build in-house if you have dedicated engineering bandwidth, a simple dataset (< 10K contacts, minimal tags, no pipeline), and tolerance for a 2–4 week timeline.

Don't build in-house when:

• Your Keap instance has 50+ active campaigns with nested decision logic
• You have 100+ tags encoding business state that need to be classified and mapped
• You're an agency migrating multiple Keap accounts to HighLevel sub-accounts
• Your team can't absorb the engineering cost of building rate-limit handling, pagination logic, error recovery, and validation scripts
• You need the migration done in days, not weeks

The hidden cost of DIY is not just engineering hours — it's the opportunity cost of your team debugging 429 errors and chasing down missing records instead of shipping product or serving customers. And it includes everything around extraction: schema design, retry logic, import manifests, dry runs, UAT, user retraining, and rollback planning when the target platform doesn't offer an undo button for imported opportunities.

At ClonePartner, we've handled CRM migrations with complex tag structures, hundreds of custom fields, and large-volume datasets. Our scripts handle Keap's spike limits and HighLevel's burst limits natively, with built-in retry logic and adaptive backoff. We validate at the field level, not just the record level, and deliver the migration in days. If you want the data moved accurately without tying up your engineering team, talk to us.