CRM migration

Migrate from Rechat to HighLevel

Field-level mapping, validation, and rollback between Rechat and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.

Rechat logo

Rechat

Source

HighLevel

Destination

HighLevel logo

Compatibility

100%

12 of 12

objects map 1:1 between Rechat and HighLevel.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Rechat logo

Rechat

What's pushing teams away

  • Agents without Google or Outlook accounts report being unable to access full automation features, making Rechat feel incomplete as a standalone CRM.
  • A June 2025 Heroku/Salesforce outage knocked Rechat offline for an extended period, raising concerns about infrastructure dependency on a third-party cloud provider.
  • Users moving to platforms with published API documentation find Rechat's undocumented endpoints limiting when attempting programmatic data exports.
  • Rechat's AI assistant Lucy is tightly integrated, making workflows harder to replicate when agents switch to platforms with different automation paradigms.
  • Brokers seeking simpler per-seat pricing without tier-gated features find Rechat's enterprise-focused model harder to justify for small teams.

Choosing

HighLevel logo

HighLevel

What's pulling them in

  • Agencies choose HighLevel to consolidate CRM, email, SMS, scheduling, and funnels into one subscription, eliminating monthly bills for five to ten separate SaaS tools they previously stitched together.
  • The flat-rate pricing model bills per sub-account rather than per contact, so growing a contact database from 1,000 to 100,000 records does not trigger a billing surprise—a common pain point avoided by migrating customers.
  • White-label and sub-account capabilities let agencies resell HighLevel access to their own clients, turning a software cost center into a recurring revenue stream that justifies the subscription.
  • The platform ships a 14-day free trial with no credit card required, giving teams a low-friction entry point to validate fit before committing to the $97/month Starter tier.
  • Marketing agencies managing multiple client accounts use sub-accounts to maintain data isolation per client while operating under a single agency billing relationship with HighLevel.

Object mapping

How Rechat objects map to HighLevel

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

maps to

HighLevel

Contact

1:1
Fully supported

Rechat 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

maps to

HighLevel

Company

1:1
Fully supported

Rechat 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

maps to

HighLevel

Opportunity

1:1
Fully supported

Rechat 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

maps to

HighLevel

Pipeline (HighLevel native)

1:1
Fully supported

Rechat 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)

maps to

HighLevel

Custom Field (Contact)

1:1
Fully supported

Rechat 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)

maps to

HighLevel

Custom Field (Opportunity)

1:1
Fully supported

Rechat 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

maps to

HighLevel

Custom Object

1:1
Fully supported

Rechat 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

maps to

HighLevel

Contact Note / Opportunity Note

1:1
Fully supported

Rechat 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

maps to

HighLevel

Custom Field (Contact)

1:1
Mapping required

Rechat 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

maps to

HighLevel

Custom Field / Link

1:1
Fully supported

Rechat'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

maps to

HighLevel

AI Agent (HighLevel)

1:1
Fully supported

Rechat'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)

maps to

HighLevel

Workflow

1:1
Fully supported

Rechat 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.

Gotchas + challenges

What specifically takes care here

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 logo

Rechat gotchas

High

Heroku/Salesforce outage risk impacts migration timing

High

Email bodies are never stored in Rechat

Medium

Flows automations are not exportable via API

Medium

Lucy AI assistant history is not accessible

Low

Contact export produces flat Excel, not relational data

HighLevel logo

HighLevel gotchas

High

Sub-account architecture creates isolated data silos per client

High

Usage-based telecom and AI costs are not in the subscription price

Medium

Workflows have no native equivalent in most destination CRMs

Medium

API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account

Low

White-label configuration and branding assets do not export via API

Pair-specific challenges

  • Rechat email body content is not migrated — only metadata

    Rechat deliberately stores only email metadata (subject, teaser, date) without saving the email body. The actual message content lives in the connected Google/Outlook account. When migrating to HighLevel, the contact record in HighLevel will show email metadata as a custom field but the full conversation history requires access to the source email system. Teams that rely on Rechat's CRM as the email of record for compliance or audit purposes must rebuild that capability in HighLevel via an email integration or accept the metadata-only migration as the permanent state.

  • MLS listing associations have no equivalent in HighLevel

    Rechat's MLS integration links contacts and deals to listing records — a core real estate feature with no direct HighLevel equivalent. Listing references in Rechat (MLSID, listing status, property address) migrate as custom text fields on the contact or opportunity, but the active MLS search and listing presentation features do not exist in HighLevel. Teams using Rechat MLS associations for lead qualification or deal context must rebuild this using HighLevel custom objects, external URL fields, or a third-party MLS integration. This is a process redesign, not a data migration.

  • Rechat Flows cannot be exported and require full manual rebuild

    Rechat's Flow automation builder stores workflow logic in a proprietary format that does not export. The Rechat-to-HighLevel migration covers data only — every Flow (triggers, conditions, actions, reminders, celebrations) must be rebuilt in HighLevel's Workflow builder from scratch. This includes lead nurture sequences, daily reminders, event-triggered notifications, and any custom Flow logic. FlitStack provides a Flow inventory export as a rebuild reference document, but the actual automation rebuild is a separate project scoped outside the data migration.

  • Lucy AI assistant configuration is real-estate-specific and non-portable

    Rechat's Lucy AI assistant is trained on real estate domain knowledge for lead responses, listing queries, and transaction status checks. HighLevel's AI agents are general-purpose and do not inherit Rechat's Lucy configuration. Agent prompts, conversation flows, and real estate knowledge bases require a complete rebuild in HighLevel's AI agent builder. The rebuild scope depends on which Lucy features the team uses most — a team relying heavily on Lucy for automated lead responses will spend more time on the rebuild than a team using Lucy only for scheduling assistance.

  • Tag-to-custom-field conversion requires business decision on multi-select handling

    Rechat's tag model is flat — a contact can have N tags applied. HighLevel supports tags natively but also supports pick-list custom fields. When Rechat custom properties use multi-select pick-lists, the migration team must decide whether to preserve the multi-select as tags or convert to a custom field with semicolon-delimited values. Tags are easier to query in HighLevel workflows; custom fields are easier to report on in dashboards. FlitStack surfaces this decision before the migration runs and provides a default mapping, but the choice affects downstream reporting and automation design in HighLevel.

Migration approach

Six steps for a successful Rechat to HighLevel data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Rechat logo

Rechat

Source

Strengths

  • All-in-one platform replacing separate CRM, marketing suite, and listing tools with one interface and one login.
  • Two-way real-time sync with Google and Outlook for contacts, calendar, and email metadata without third-party connectors.
  • Deep MLS integration enables agents to market listings, pull data for clients, and track opens and clicks directly from the platform.
  • AI assistant Lucy handles routine automations, freeing agents to focus on closings rather than administrative tasks.
  • Built by brokers who ran one of Canada's largest online brokerages, addressing real pain points around tool fragmentation.

Weaknesses

  • Pricing is not publicly published, making it difficult to compare costs before a sales conversation.
  • API documentation is sparse and undocumented endpoints make programmatic migration challenging without custom discovery work.
  • Platform runs on Heroku/Salesforce infrastructure, adding third-party dependency risk as demonstrated by the June 2025 outage.
  • Email body content is not stored — only metadata — so migrating email context requires additional handling or accepting data loss.
  • Full functionality requires Google or Outlook connection, limiting use for teams on other email platforms.
HighLevel logo

HighLevel

Destination

Strengths

  • Consolidates CRM, marketing automation, email, SMS, scheduling, and funnels into one platform at a predictable flat monthly rate.
  • Supports unlimited contacts and unlimited users on all paid tiers, removing per-record billing anxiety as databases grow.
  • Offers white-label and sub-account capabilities that let agencies resell access and manage multiple client environments under one billing relationship.
  • Includes built-in review management, reputation monitoring, and AI agents as native features rather than third-party add-ons.
  • Exports Contacts and Companies via a scalable async bulk CSV system that handles multi-million-row datasets without blocking the UI.

Weaknesses

  • The breadth of features creates a steep learning curve; advanced automations and Workflow configuration require significant time investment that smaller teams may not recover.
  • The platform charges usage-based fees for telecommunications and AI features that are not included in the base subscription, leading to bill surprises.
  • Recurring user reports on Reddit and G2 describe bugs, errors, and slow support response times that disrupt live marketing and sales operations.
  • Sub-account architecture, while powerful for agencies, adds migration complexity when identifying which client data lives in which isolated environment.
  • The platform is designed for agencies and SMBs; larger enterprises requiring deep reporting, custom objects at scale, or complex role-based access may outgrow its capabilities.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Rechat and HighLevel.

  • Object compatibility

    B

    2 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Rechat: Not publicly documented.

  • Data volume sensitivity

    B

    Rechat doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Rechat to HighLevel migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Rechat to HighLevel data migrations

Answers to the questions buyers ask most during Rechat to HighLevel migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Book a free 30 minute consultation

Most Rechat-to-HighLevel migrations complete within 48–72 hours for under 25,000 records. Larger datasets with 200,000+ records or complex custom-object structures extend to 5–8 days. The longest planning step is pre-migration schema setup — building HighLevel custom fields, configuring pipelines, and deciding on tag-to-custom-field conversions. Migration execution time is primarily driven by API extraction from Rechat and the volume of delta records captured during the cutover window.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Rechat.
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