CRM migration
Field-level mapping, validation, and rollback between Rechat and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Rechat
Source
HighLevel
Destination
Compatibility
12 of 12
objects map 1:1 between Rechat and HighLevel.
Complexity
BStandard
Timeline
48–72 hours
Overview
Rechat is a real estate vertical CRM built for brokerages and agents, with MLS integration, Lucy AI assistant, and two-way Google/Outlook sync. HighLevel is an all-in-one marketing and CRM platform targeting agencies and SMBs, offering workflows, funnels, SMS, email campaigns, and sub-account management. The data models share standard CRM objects (Contacts, Companies, Deals/Opportunities) but diverge on domain-specific features: Rechat stores email metadata only (not body content), includes MLS listing associations, and has a real-estate-specific Deal object. HighLevel uses Opportunities for pipeline management, supports custom objects with relationships, and uses tags for contact segmentation instead of Rechat-style lifecycle stages. FlitStack AI migrates all Rechat contacts, companies, deals, notes, and custom objects via the Rechat API into HighLevel's contact-centric model. Email metadata migrates as contact custom fields. MLS associations, workflows, and automations do not migrate — those require manual rebuild in HighLevel's Workflow builder or third-party tools. The migration runs with scoped read access to Rechat and a delta-pickup window capturing in-flight changes during 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 Rechat 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.
Rechat
Contact
HighLevel
Contact
1:1Rechat contacts map directly to HighLevel contacts. Email, phone, address, and name fields translate 1:1. Rechat's email metadata (subject, teaser, date) migrates as custom contact fields. Rechat tag assignments migrate as HighLevel tags. Owner resolved by email match to HighLevel users.
Rechat
Company
HighLevel
Company
1:1Rechat companies map to HighLevel companies with all standard fields translating directly. Company name, domain, address, phone, and custom fields migrate as-is. Parent-child company hierarchies in Rechat map to HighLevel's parent-company relationship field using the parentCompanyId lookup. Companies without contacts receive a placeholder note to flag for manual review.
Rechat
Deal
HighLevel
Opportunity
1:1Rechat deals map to HighLevel opportunities. Deal name, amount, stage, close date, and owner migrate as-is. Custom deal fields translate to custom opportunity fields. Rechat deal pipelines map to HighLevel pipeline stages — each pipeline becomes one set of stage values in HighLevel's pipeline builder.
Rechat
Pipeline
HighLevel
Pipeline (HighLevel native)
1:1Rechat pipelines translate as HighLevel pipeline configurations. Each Rechat pipeline stage becomes a stage in HighLevel's Kanban pipeline view. Stage names map value-by-value; stage order and probability percentages re-applied per HighLevel's stage configuration. Multiple Rechat pipelines require multiple HighLevel pipeline builds.
Rechat
Custom Property (Contact-level)
HighLevel
Custom Field (Contact)
1:1Rechat custom properties on contacts create custom fields in HighLevel. Data type mapping: text → text, number → number, date → date, picklist → picklist (with value mapping if options differ). Multi-select picklists in Rechat map to tag-based segmentation in HighLevel or a custom field with semicolon-delimited values.
Rechat
Custom Property (Deal-level)
HighLevel
Custom Field (Opportunity)
1:1Rechat deal custom properties translate to custom opportunity fields in HighLevel. The same data-type mapping rules apply across text, number, date, and picklist fields. Fields marked required in Rechat must be marked required in HighLevel before the migration run to avoid validation failures that could block the data load.
Rechat
Custom Object
HighLevel
Custom Object
1:1Rechat custom objects map 1:1 to HighLevel custom objects. Custom object field names and types translate per HighLevel's schema requirements. Custom object relationships (one-to-many, many-to-many) require junction objects in HighLevel when the source uses many-to-many associations — FlitStack surfaces these in the pre-migration schema plan.
Rechat
Note
HighLevel
Contact Note / Opportunity Note
1:1Rechat notes migrate as HighLevel notes attached to the corresponding contact or opportunity. Note body, created date, and owner preserved during transfer. Notes with attachments — Rechat file attachments re-upload to HighLevel's file storage and linked back to the note record for complete record reconstruction.
Rechat
Email Metadata
HighLevel
Custom Field (Contact)
1:1Rechat does not store email body content — only subject, teaser, and date. This metadata migrates as a custom contact field (Email_Metadata__c) in HighLevel with a formatted string per email. Teams requiring full email history must rely on the source email system (Google/Outlook) for the actual body content.
Rechat
MLS Association
HighLevel
Custom Field / Link
1:1Rechat's MLS integration links contacts and deals to listing data. HighLevel has no native MLS association model. Listing references migrate as custom text fields or external URL links for reference. MLS search functionality requires a separate integration rebuild in HighLevel.
Rechat
Lucy AI Configuration
HighLevel
AI Agent (HighLevel)
1:1Rechat's Lucy AI assistant configuration is real-estate-specific and non-portable. HighLevel's AI agents provide general-purpose conversational capabilities. The rebuild scope depends on Lucy use cases — lead qualification, listing queries, and appointment booking each map to different HighLevel AI agent configurations. Rebuilding requires defining agent prompts, conversation flows, and knowledge bases from scratch.
Rechat
Flow (Automation)
HighLevel
Workflow
1:1Rechat Flows do not migrate. The automation logic must be rebuilt in HighLevel's Workflow builder. FlitStack exports Rechat Flow definitions as a reference document with trigger/action documentation for your HighLevel admin to use during rebuild.
| Rechat | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline | Pipeline (HighLevel native)1:1 | Fully supported | |
| Custom Property (Contact-level) | Custom Field (Contact)1:1 | Fully supported | |
| Custom Property (Deal-level) | Custom Field (Opportunity)1:1 | Fully supported | |
| Custom Object | Custom Object1:1 | Fully supported | |
| Note | Contact Note / Opportunity Note1:1 | Fully supported | |
| Email Metadata | Custom Field (Contact)1:1 | Mapping required | |
| MLS Association | Custom Field / Link1:1 | Fully supported | |
| Lucy AI Configuration | AI Agent (HighLevel)1:1 | Fully supported | |
| Flow (Automation) | Workflow1:1 | 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.
Rechat gotchas
Heroku/Salesforce outage risk impacts migration timing
Email bodies are never stored in Rechat
Flows automations are not exportable via API
Lucy AI assistant history is not accessible
Contact export produces flat Excel, not relational data
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
Inventory Rechat data model and export via API
FlitStack connects to Rechat's API with scoped read access and inventories all contacts, companies, deals, notes, custom objects, and tags. The export captures field names, data types, pick-list values, and relationship structures. Rechat's API rate limits are respected to avoid throttling during extraction. The inventory identifies custom properties, MLS associations, and email metadata fields that require special handling in the mapping plan.
Build HighLevel schema and custom fields
Before data loads, FlitStack creates all required custom fields and custom objects in HighLevel based on the Rechat inventory. This includes contact custom fields for email metadata and Rechat IDs, opportunity custom fields for deal properties, and any custom objects that map from Rechat. Pipeline stages are pre-configured to match Rechat deal stages. HighLevel sub-account structure is planned if the destination is an Agency account.
Run sample migration with field-level diff
A representative slice of records — typically 100–500 across contacts, companies, deals, and notes — migrates first. FlitStack generates a field-level diff comparing source values against destination values. The diff verifies tag mapping, owner resolution, company-contact relationship resolution, and custom field population. The sample run surfaces any data type mismatches or required field violations before the full migration commits, allowing corrections to the mapping plan without risking the full dataset.
Execute full migration with delta-pickup window
The full migration loads all Rechat records into HighLevel using the validated mapping. A delta-pickup window (24–48 hours) runs simultaneously, capturing any new records or modifications made in Rechat during the cutover. FlitStack maintains an audit log of every record operation. If reconciliation reveals discrepancies, one-click rollback reverts the HighLevel instance to its pre-migration state for re-mapping and a second run.
Deliver export package for workflow and automation rebuild
FlitStack delivers a structured export of Rechat Flow definitions (trigger/action documentation), Lucy AI configuration notes, and MLS association metadata. This package serves as the reference material for rebuilding Rechat workflows in HighLevel's Workflow builder and reconstructing MLS-related features using HighLevel custom objects or third-party integrations. The rebuild work is separate from the data migration and scoped as a follow-on project.
Platform deep dives
Rechat
Source
Strengths
Weaknesses
HighLevel
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 Rechat and HighLevel.
Object compatibility
2 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
Rechat: Not publicly documented.
Data volume sensitivity
Rechat 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 Rechat to HighLevel migration scoping. Not seeing yours? Book a call.
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