CRM migration
Field-level mapping, validation, and rollback between REDA and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
REDA
Source
HighLevel
Destination
Compatibility
11 of 11
objects map 1:1 between REDA and HighLevel.
Complexity
BStandard
Timeline
3–5 business days
Overview
REDA is a vertical SaaS platform built on Salesforce, designed for real estate developers, contractors, and property managers. Its data model includes standard CRM objects (Contacts, Accounts, Opportunities) plus property-specific modules (Properties, Units, Leases) and financial controls. HighLevel is an all-in-one CRM and marketing automation platform targeting agencies, coaches, and service businesses — it offers Contacts, Companies, Opportunities (pipelines), Custom Objects, and Workflows, but no native property management or financial modules. We map REDA's standard CRM objects (Contacts, Accounts, Opportunities, Tasks) directly to HighLevel equivalents. Custom objects (Properties, Units, Leases) migrate to HighLevel Custom Objects with custom fields that preserve REDA's schema. Activity history — calls, emails, meetings, notes — migrates as HighLevel Tasks with original timestamps and owners. Custom fields, tags, and file attachments transfer as-is. We do not migrate: workflows, automations, or sequences (REDA's are built on Salesforce Flow/Process Builder and require full manual rebuild in HighLevel's Workflows); financial reconciliation logic; or integrations. Those must be rebuilt post-migration. The migration extracts REDA data via Salesforce APIs using field-level selection and relationship traversal, transforms data through the mapping layer, and loads into HighLevel via bulk import with owner email matching and a delta-pickup window for in-flight changes.
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 REDA 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.
REDA
Contact
HighLevel
Contact
1:1REDA's standard Contact object (firstname, lastname, email, phone, address, jobtitle) maps directly to HighLevel Contact. Owner resolution uses email match to HighLevel users — unmatched owners flagged for team assignment before migration.
REDA
Account
HighLevel
Company
1:1REDA's Account object (name, website, industry, employee count, annual revenue) maps directly to HighLevel Company. Company hierarchies in REDA map to HighLevel's parent-company relationship if configured, otherwise treated as flat companies.
REDA
Opportunity
HighLevel
Opportunity
1:1REDA deals map to HighLevel Opportunities with dealname as Opportunity name, amount as value, dealstage mapped to the corresponding HighLevel pipeline stage, and closedate as the close date. REDA's multiple deal pipelines map to HighLevel pipeline columns.
REDA
Property__c (custom object)
HighLevel
Property (custom object)
1:1REDA's Property custom object (property name, type, address, unit count, square footage, status) migrates 1:1 to a HighLevel Property custom object. The custom object schema must be created in HighLevel before migration — we deliver a schema setup plan as part of the migration package.
REDA
Unit__c (child of Property__c)
HighLevel
Unit (custom object)
1:1REDA unit records linked to properties migrate as a separate Unit custom object in HighLevel with a relationship field back to the Property custom object. Unit number, floor, square footage, rent amount, and occupancy status map to HighLevel custom fields.
REDA
Lease__c (custom object)
HighLevel
Lease (custom object)
1:1REDA lease agreements with term start and end dates, monthly rent, security deposit, and lease status migrate as a HighLevel Lease custom object. The lease record links to the tenant Contact and the associated Property/Unit via custom relationship fields.
REDA
Task / Event
HighLevel
Task
1:1REDA activity records — calls logged, emails sent, meetings scheduled — migrate as HighLevel Tasks with the activity type preserved in a custom Type field, original timestamps carried forward, and owner assigned via email match to HighLevel users.
REDA
Note / Attachment
HighLevel
Note / File
1:1REDA notes migrate as HighLevel Notes with original body text and timestamps. File attachments to contacts, companies, or property records are downloaded and re-uploaded to HighLevel Files, then re-attached to the corresponding record — file size limit is 25MB per file.
REDA
Financial_Transaction__c (custom object)
HighLevel
Financial_Transaction (custom object)
1:1REDA financial records — rent payments, invoices, deposits — migrate as a HighLevel Financial_Transaction custom object. Currency fields, transaction dates, and amounts map to corresponding HighLevel custom fields. Approval workflows and reconciliation logic do not migrate and must be rebuilt in HighLevel.
REDA
User / Owner
HighLevel
User
1:1REDA owner IDs resolve to HighLevel users via email match. Unmatched owners are flagged before migration — teams either invite them to HighLevel first or assign their records to a fallback user. No record lands without a valid HighLevel owner.
REDA
Custom Property Fields
HighLevel
Custom Fields on Custom Objects
1:1REDA's custom fields on Property, Unit, and Lease objects — such as property_manager__c, unit_type__c, lease_type__c — migrate as custom fields on the corresponding HighLevel custom objects. Field type (text, number, date, currency) is preserved at import.
| REDA | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Account | Company1:1 | Fully supported | |
| Opportunity | Opportunity1:1 | Fully supported | |
| Property__c (custom object) | Property (custom object)1:1 | Fully supported | |
| Unit__c (child of Property__c) | Unit (custom object)1:1 | Fully supported | |
| Lease__c (custom object) | Lease (custom object)1:1 | Fully supported | |
| Task / Event | Task1:1 | Fully supported | |
| Note / Attachment | Note / File1:1 | Fully supported | |
| Financial_Transaction__c (custom object) | Financial_Transaction (custom object)1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Custom Property Fields | Custom Fields on Custom Objects1:1 | 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.
REDA gotchas
REDA is a Salesforce org — migrations are Salesforce-to-Salesforce at the core
Property-Tenant-Lease lookups must be preserved as a set
REDAOne.AI configurations do not transfer across platforms
Multi-currency and exchange rate data requires explicit mapping
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
Extract REDA data via Salesforce APIs
FlitStack AI connects to REDA's underlying Salesforce instance using OAuth 2.0 and extracts data via the Salesforce REST API with field-level selection and relationship traversal. We pull Contacts, Accounts, Opportunities, Tasks, and custom objects (Properties, Units, Leases, Financial Transactions) in dependency order. Parent-child relationships are resolved during extraction so foreign keys are available at transform time. A data profiling pass identifies empty fields, invalid formats, and orphaned records before mapping begins.
Create HighLevel custom object schemas
Before data moves, we deliver a schema setup plan specifying the custom objects (Property, Unit, Lease, Financial_Transaction), custom fields, and relationship fields needed in HighLevel. Your HighLevel admin creates the custom object schemas and fields — we provide exact field names, types, and pick-list values to configure. This ensures HighLevel's data model is ready to accept REDA's property-centric schema before the migration run. Owner email matching is also validated against HighLevel users at this stage.
Transform data and run sample migration
Extracted REDA records pass through the field mapping layer: standard objects map to HighLevel Contacts, Companies, and Opportunities; custom objects map to HighLevel Custom Objects with field transformations applied. A sample migration runs first — typically 100-500 records spanning contacts, companies, opportunities, and custom property records. We generate a field-level diff comparing source and destination values so you can verify mapping accuracy, particularly for custom fields, relationship fields, and owner resolution, before the full migration commits.
Execute full migration with delta-pickup window
The full migration runs in dependency order: Users resolved first, then custom objects (Properties, Units, Leases), then standard objects (Accounts, Contacts, Opportunities), then activities and files. HighLevel's API rate limits are respected via chunked batch processing. A delta-pickup window (24-48 hours) captures any records created or modified in REDA during the cutover period. The audit log records every operation — insert, update, skip, error — and one-click rollback is available if reconciliation fails.
Platform deep dives
REDA
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 REDA 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
REDA: Not publicly documented by REDA; inherits Salesforce platform limits.
Data volume sensitivity
REDA 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 REDA to HighLevel migration scoping. Not seeing yours? Book a call.
Walk through your REDA to HighLevel migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave REDA
Other ways to arrive at HighLevel
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.