CRM migration
Field-level mapping, validation, and rollback between Apto and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Apto
Source
HighLevel
Destination
Compatibility
11 of 11
objects map 1:1 between Apto and HighLevel.
Complexity
BStandard
Timeline
48–72 hours
Overview
Apto and HighLevel both store contacts, companies, and deals, but they organize them differently. Apto typically uses a flat workspace with pipelines and stages for deals. HighLevel uses Opportunities tied to pipeline Stages with a sub-account hierarchy for agencies managing multiple clients. We map Apto contacts to HighLevel contacts, Apto companies to HighLevel companies, and Apto deals to HighLevel opportunities with stage and probability preserved. Custom fields require custom field creation in HighLevel. Tags migrate as text tags in HighLevel. Workflows, automations, and sequences do not migrate — they must be rebuilt in HighLevel's workflow builder. We extract data via Apto's API (or CSV export where API is limited), transform it to match HighLevel's field names and pick-list values, and load via HighLevel's bulk import API with a field-level validation pass before finalizing. We perform a pre-flight validation to ensure field compatibility, then execute the migration in batched runs respecting HighLevel's rate limits. After loading, a reconciliation report compares record counts and field values against the source, and any discrepancies are flagged for correction. A delta-capture window of 24–48 hours captures late changes in Apto before the final switch-over. Our team remains available during the cutover period to address any data issues that arise.
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 Apto 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.
Apto
Contact
HighLevel
Contact
1:1Direct field-level map from Apto contact properties to HighLevel contact fields. Email is the primary key for de-duplication. Owner resolved by email match to HighLevel user. Custom properties on Apto contacts become HighLevel custom fields. During migration, any missing or malformed email addresses are logged for review, ensuring data quality before final import.
Apto
Company
HighLevel
Company
1:1Apto company records map to HighLevel company objects. Company name, domain, address, industry, and employee count map to equivalent HighLevel company fields. Parent-company relationships in Apto map to HighLevel's parent company lookup if the structure is hierarchical. If Apto contains hierarchical parent‑company relationships, we map them to HighLevel’s parent‑company lookup field to preserve organizational context.
Apto
Deal
HighLevel
Opportunity
1:1Apto deals migrate as HighLevel opportunities. Pipeline and stage in Apto map to HighLevel's Pipeline and StageName fields on the opportunity. Deal amount, close date, and owner transfer directly. Stage probability is recalculated based on HighLevel's stage configuration. Stage probabilities are recalculated to align with HighLevel’s configured stage weights, ensuring accurate forecasting.
Apto
Pipeline
HighLevel
Pipeline + Stage
1:1Apto pipelines become HighLevel pipelines with stages. Each Apto pipeline stage maps to a corresponding HighLevel stage within the pipeline. Stage order and probability values are preserved. Teams with multiple pipelines in Apto create matching pipeline structures in HighLevel before migration.
Apto
Task
HighLevel
Task
1:1Apto tasks map to HighLevel tasks. Subject, description, due date, priority, and status transfer directly. Task owner resolves by email match. Completed status and completion timestamps are preserved as custom fields or standard fields where HighLevel supports them. If a task’s owner cannot be resolved, the task is flagged for manual assignment before the import batch finalizes.
Apto
Note
HighLevel
Note
1:1Apto notes map to HighLevel notes attached to the parent contact or company. Note body content, created date, and creator transfer. Rich-text formatting is preserved where both platforms support it. Notes without a parent contact or company are logged at the account level.
Apto
Custom Field
HighLevel
Custom Field
1:1Apto custom fields on any object require pre-creation in HighLevel as custom fields before migration. Field type mapping: Apto text becomes HighLevel text, Apto pick-list becomes HighLevel drop-down, Apto number becomes HighLevel number. We generate a custom field creation checklist based on the Apto schema audit.
Apto
Tag
HighLevel
Tag
1:1Apto tags transfer as text tags on the corresponding HighLevel contact. Tags used for segmentation in Apto become filter criteria in HighLevel workflows. Duplicate tag values are consolidated during migration. Tag-to-contact associations are preserved via HighLevel's tag assignment on the contact record.
Apto
Activity / Engagement
HighLevel
Task / Note
1:1Apto call logs, email logs, and meeting records map to HighLevel tasks with a type indicator. Original timestamps, duration, and outcome notes are preserved as task description or custom fields. This preserves engagement history without requiring a separate activity log object.
Apto
User / Owner
HighLevel
User
1:1Apto user records are resolved by email against HighLevel users. Unmatched owners are flagged before migration for team invitation or fallback assignment. Active vs. inactive status in Apto does not block migration — inactive users are mapped as read-only owners in HighLevel.
Apto
Attachment / File
HighLevel
Document
1:1Apto file attachments on contacts, companies, or deals are exported to local storage and re-uploaded to HighLevel's document management. File size limits and format restrictions apply. We flag oversized files and unsupported formats before migration for manual handling. We also verify file size compliance with HighLevel’s upload limits and recommend compression if needed.
| Apto | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline | Pipeline + Stage1:1 | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Note | Note1:1 | Fully supported | |
| Custom Field | Custom Field1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Activity / Engagement | Task / Note1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Attachment / File | Document1:1 | 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.
Apto gotchas
No documented public API for automated export
Custom fields require manual discovery
Pipeline stage names are brokerage-specific
Attachment files are not included in standard exports
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
Audit Apto schema and map to HighLevel data model
We begin by querying Apto's API to enumerate all objects, standard fields, custom fields, pipelines, stages, and tag values. We cross-reference this against HighLevel's object schema to identify direct mappings, transformed mappings, and gaps requiring custom field pre-creation. The output is a field-level mapping document and a custom field creation checklist for HighLevel, reviewed and approved before any data moves.
Export Apto data and transform to HighLevel import format
We extract all Apto records — contacts, companies, deals, tasks, notes, and tags — via the Apto API or CSV export where API coverage is limited. Each record is transformed to match HighLevel's field names, pick-list values, and data types. Owner email addresses are resolved against a list of confirmed HighLevel users. Custom field values are validated against pick-list constraints before the import package is assembled.
Create custom fields in HighLevel and run a sample migration
Before the full migration, we create all required custom fields in HighLevel based on the schema audit. We then run a sample migration of 100–500 representative records spanning contacts, companies, deals, and activities. A field-level diff report is generated comparing source values against destination values. You review and approve the sample before the full run commits. During the sample phase, we verify that pick-list values map correctly and that any custom field constraints are respected before scaling to the full dataset.
Execute full migration with delta-pickup window and audit log
The full dataset loads into HighLevel using HighLevel's bulk import API, with rate-limit-aware chunking. A delta-pickup window — typically 24–48 hours — captures any records created or modified in Apto during the cutover. Every operation is logged in an audit trail. One-click rollback is available if the reconciliation report identifies discrepancies after go-live. The migration engine logs each batch’s start and end times, record counts, and any transient errors, providing a full audit trail for compliance review.
Validate record counts, field accuracy, and tag preservation
We run a post-migration validation comparing record counts by object and a random-sample field accuracy check against the Apto source data. Tags, custom field values, deal stages, and owner assignments are spot-checked. A validation report is delivered with any records that require manual review. We recommend a 48-hour parallel-run period where your team confirms deal pipeline and contact data in HighLevel before decommissioning Apto.
Platform deep dives
Apto
Source
Strengths
Weaknesses
HighLevel
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Apto and HighLevel.
Object compatibility
3 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
Apto: Inherited from the Salesforce org's API limits (e.g., 15,000 calls/24h for Enterprise; varies by Salesforce edition)..
Data volume sensitivity
Apto exposes a bulk API — large-volume migrations stream efficiently.
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
Answers to the questions buyers ask most during Apto to HighLevel migration scoping. Not seeing yours? Book a call.
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