CRM migration
Field-level mapping, validation, and rollback between Entera and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Entera
Source
HighLevel
Destination
Compatibility
12 of 12
objects map 1:1 between Entera and HighLevel.
Complexity
BStandard
Timeline
48–72 hours
Overview
Entera is a real estate investment SaaS platform built for single-family investors — it stores contacts, companies, investment deals, and custom property-level fields (property type, cap rate, renovation scope, acquisition price). HighLevel is an all-in-one CRM and marketing automation platform designed for agencies and service businesses, using contacts, companies, opportunities, pipelines, tags, and a custom-objects API. The migration carries everything Entera stores natively (contacts, companies, opportunities, activities, custom objects) into HighLevel's contact-opportunity-pipeline model. The harder problems are translating Entera's real estate deal properties (cap rate, ARV, renovation budget) into HighLevel custom fields, mapping Entera deal stages to HighLevel pipeline stages, and preserving property address and attachment data in HighLevel's file model. Workflows, automations, and sequences do not migrate and must be rebuilt in HighLevel's Workflow Builder using exported definitions as reference. FlitStack uses HighLevel's API (200,000 requests/day per sub-account) with bulk CSV exports for large record batches, delta-pickup for in-flight changes, and scoped read access on Entera so teams keep working through cutover.
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 Entera 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.
Entera
Contact
HighLevel
Contact
1:1Entera contacts migrate directly to HighLevel contacts. First name, last name, email, phone, and address fields map 1:1. Owner assignment uses email-match against HighLevel user accounts — unmatched owners are flagged before the migration commits so your team can invite or reassign.
Entera
Company
HighLevel
Company
1:1Entera companies map directly to HighLevel companies. Key fields including company name, domain, industry classification, employee count, and annual revenue migrate cleanly. For Entera records with parent-child company hierarchies, FlitStack uses HighLevel's parent company lookup field — any circular reference that would create an infinite hierarchy is flagged and reported during the pre-migration data audit.
Entera
Deal / Investment Opportunity
HighLevel
Opportunity
1:1Entera investment deals migrate as HighLevel Opportunities. Deal name, amount, close date, and stage map to opportunity name, monetary value, expected close date, and pipeline stage respectively. Custom deal properties (cap rate, ARV, rehab budget) are created as custom fields on the HighLevel opportunity.
Entera
Deal Stage
HighLevel
Pipeline Stage
1:1Entera deal stage names map to HighLevel pipeline stage names through direct value translation. Each unique stage in your Entera setup receives a corresponding named stage in the target HighLevel pipeline. Once stages are mapped, probability percentage values are applied individually per stage using HighLevel's stage probability configuration settings, preserving the expected close-rate assumptions from your original Entera pipeline.
Entera
Property Address
HighLevel
Custom Field on Opportunity
1:1Entera stores full property addresses on deal records. HighLevel opportunities have a limited native address schema, so the property street address, city, state, and ZIP migrate as a custom text field on the opportunity. This preserves the investment property location for reporting and routing.
Entera
Custom Property Fields (cap rate, ARV, rehab budget, property type)
HighLevel
Custom Fields on Opportunity
1:1Real estate investment fields (cap rate, after-repair value, renovation budget, property type, loan-to-value ratio) have no HighLevel native equivalent. FlitStack creates custom fields on the opportunity object matching the field type — numeric fields for rates and amounts, text for property types, and date fields for renovation timelines.
Entera
Activity / Engagement Log
HighLevel
Task / Note
1:1Entera activity logs spanning calls, emails, property showings, inspection notes, and other engagement records migrate as HighLevel Tasks or Notes attached to the parent contact or opportunity record. All original activity timestamps and owner assignments are preserved exactly as they exist in Entera. Any rich-text formatting, bullet points, or embedded links present in the original notes carry over into HighLevel's note format without modification.
Entera
Attachment / File
HighLevel
File (per record)
1:1Entera deal attachments — purchase agreements, inspection reports, property photos — are re-uploaded to HighLevel as files attached to the corresponding opportunity record. HighLevel's file size limits (25 MB per file) apply; larger files are split or linked by URL reference.
Entera
Tag / Label
HighLevel
Tag
1:1Entera tags and labels on contacts and deals migrate directly to HighLevel tags. Tag names are preserved exactly. Tags applied across multiple object types (contact tags, deal tags) are migrated per-object so the tag filter logic works identically in HighLevel's segmentation views.
Entera
Entera Custom Objects (loan terms, seller disclosures, property conditions)
HighLevel
Custom Objects
1:1Entera custom objects such as loan terms, seller disclosures, and property condition records map 1:1 to HighLevel custom objects using the Custom Objects API. All custom object fields are created in HighLevel with matching data types to preserve data integrity. The relationships linking custom objects to parent contacts or opportunities are maintained using HighLevel's relationship linking capabilities, ensuring associated records remain connected after migration.
Entera
Workflow / Automation
HighLevel
Not Migrated
1:1Entera workflows and automated investment pipelines do not transfer to HighLevel. FlitStack exports workflow definitions as a reference document so your team can rebuild them in HighLevel's Workflow Builder. The export includes trigger conditions, action sequences, and conditional branching logic captured from the source.
Entera
User / Owner
HighLevel
User
1:1Entera users and deal owners are resolved by email match against HighLevel user accounts. If a HighLevel user account does not exist for an Entera owner email, the record is assigned to a fallback owner specified by your team before migration. Unresolved owners are flagged in the pre-migration audit report.
| Entera | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Deal / Investment Opportunity | Opportunity1:1 | Fully supported | |
| Deal Stage | Pipeline Stage1:1 | Fully supported | |
| Property Address | Custom Field on Opportunity1:1 | Fully supported | |
| Custom Property Fields (cap rate, ARV, rehab budget, property type) | Custom Fields on Opportunity1:1 | Fully supported | |
| Activity / Engagement Log | Task / Note1:1 | Fully supported | |
| Attachment / File | File (per record)1:1 | Fully supported | |
| Tag / Label | Tag1:1 | Fully supported | |
| Entera Custom Objects (loan terms, seller disclosures, property conditions) | Custom Objects1:1 | Mapping required | |
| Workflow / Automation | Not Migrated1:1 | Fully supported | |
| User / Owner | User1:1 | 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.
Entera gotchas
No public API means migration requires support-coordinated exports
Custom fields are invisible in standard exports
Document attachments require separate download coordination
Marketplace data may not export cleanly without provider consent
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
Entera data audit and schema mapping
FlitStack connects to Entera via scoped read access and inventories all contacts, companies, deals, custom objects, tags, notes, and attachments. We document the field inventory, identify real estate-specific deal properties that require custom fields in HighLevel, flag N:N contact-company associations, and audit file sizes against HighLevel's 25 MB limit. The audit output is a migration schema map — reviewed and approved by your team — that drives all subsequent steps.
Build HighLevel custom fields and custom objects
Before data moves, FlitStack creates the custom fields on HighLevel opportunities (cap rate, ARV, renovation budget, property type, loan-to-value, property address) matching the field types from the audit. Custom objects in HighLevel are created using the Custom Objects API if Entera custom objects exist. Pipeline stages are mapped to HighLevel pipeline stages per deal stage name. This step ensures no data is dropped at load time because a destination field did not exist.
Owner and user resolution
Entera users and deal owners are resolved by email match against HighLevel user accounts. FlitStack generates a pre-migration owner report listing every Entera owner email, the match status in HighLevel, and the fallback owner assignment for unmatched emails. Your team confirms the fallback assignments or invites missing users before the migration run. No record lands in HighLevel without a resolved owner.
Sample migration with field-level diff
A representative slice of 100–500 records — spanning contacts, companies, deals, activities, and custom fields — migrates to a staging HighLevel sub-account first. FlitStack generates a field-level diff comparing source values against destination field values for every mapped column. Your team reviews the diff to verify custom field mapping, stage assignments, and file attachment integrity before the full run commits.
Full migration run with delta-pickup and audit log
The full dataset migrates to the production HighLevel sub-account. A delta-pickup window of 24–48 hours captures any records created or modified in Entera during the cutover period. FlitStack's audit log records every operation (create, update, link, file upload) with source record ID and destination record ID. One-click rollback is available if reconciliation fails. After delta-pickup completes, your team validates data in HighLevel and cuts over user logins.
Platform deep dives
Entera
Source
Strengths
Weaknesses
HighLevel
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a manual workaround.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Entera and HighLevel.
Object compatibility
1 of 8 objects need a manual workaround.
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
Entera: Not publicly documented.
Data volume sensitivity
Entera 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
Answers to the questions buyers ask most during Entera to HighLevel migration scoping. Not seeing yours? Book a call.
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