CRM migration

Migrate from Fello to HighLevel

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

Fello logo

Fello

Source

HighLevel

Destination

HighLevel logo

Compatibility

100%

11 of 11

objects map 1:1 between Fello and HighLevel.

Complexity

BStandard

Timeline

24–48 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Fello is built for real estate agents who want AI-enriched contact data, lead scoring, and bi-weekly automated outreach tied to their existing CRM. HighLevel is an all-in-one platform combining CRM, marketing automation, funnels, client portals, and reputation management for agencies and service businesses. When teams migrate, they are consolidating onto a broader platform — but that means Fello's real-estate-specific data model (property records, lead scores, home value estimates, TCPA consent timestamps) needs careful translation into HighLevel's schema. We extract via Fello's CSV export, map each record to HighLevel Contacts or custom objects, preserve original create and update timestamps, and handle owner resolution by email match against HighLevel users. Workflows, sequences, and automation logic from Fello do not migrate — those need to be rebuilt in HighLevel's Workflow Builder using the exported automation definitions as a reference. Our process includes a pre-migration audit of custom fields and pipelines, sample validation runs, and a delta capture window to ensure that no data is lost 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

Fello logo

Fello

What's pushing teams away

  • Some agents outgrow Fello once their team scales beyond 10 seats, finding the platform better suited to individual agents and small teams than to larger brokerages.
  • The platform is narrowly scoped to real estate agent database prospecting, so teams seeking broader marketing automation or CRM capabilities eventually migrate to all-in-one platforms like HubSpot.
  • A subset of users find the lead score confidence misleading when high-scored contacts do not convert to listings, raising questions about the accuracy of the AI prioritization model.

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 Fello objects map to HighLevel

Each row shows how a Fello 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.

Fello

Contact

maps to

HighLevel

Contact

1:1
Fully supported

Fello contacts map directly to HighLevel contacts. Name, email, phone, address, and job title transfer as standard HighLevel contact fields. Owner resolution matches Fello owner email against HighLevel user email addresses. Unmatched owners are flagged before migration so a fallback owner can be assigned in HighLevel.

Fello

Company (real estate company)

maps to

HighLevel

Company

1:1
Fully supported

Fello company records map to HighLevel companies. Company name, domain, and address fields transfer directly. Note that Fello company records in a real estate context may represent property owner entities or brokerage affiliations — these land as standard HighLevel Company records.

Fello

Property Record (custom contact data)

maps to

HighLevel

Custom Object: Property

1:1
Fully supported

Fello does not expose a public custom objects API, so property-specific data (listing address, estimated value, listing status, days on market) is stored as contact custom fields in Fello. In HighLevel, we create a Property custom object with fields for address, value_estimate, listing_status, and days_on_market, then establish a one-to-many relationship between the Contact and Property custom object.

Fello

Lead Score

maps to

HighLevel

Contact custom field: lead_score (Number)

1:1
Fully supported

Fello's 0–100 AI lead score has no native equivalent in HighLevel. We create a custom Number field called lead_score on the HighLevel Contact object and populate it with the original Fello value. The score is preserved for reporting and segmentation in HighLevel.

Fello

TCPA Consent

maps to

HighLevel

Contact custom field: tcpa_consent_date (Date)

1:1
Fully supported

Fello captures TCPA consent timestamps when contacts fill out forms. This data migrates to a custom Date field (tcpa_consent_date) on the HighLevel Contact. Compliance flags and consent source also transfer as custom text fields to support future outreach compliance checks.

Fello

Deal / Pipeline

maps to

HighLevel

Opportunity

1:1
Fully supported

Fello deals map to HighLevel opportunities. Each Fello pipeline becomes a HighLevel pipeline view. Pipeline stages map to HighLevel opportunity stages with stage probability reapplied based on HighLevel's stage configuration. Fello deal owner resolves by email against HighLevel users. We also preserve the original deal value, close date, and any attached notes as custom fields on the HighLevel opportunity, ensuring that historical deal context is retained for future reporting.

Fello

Pipeline Stage

maps to

HighLevel

Opportunity Stage

1:1
Fully supported

Stage names in Fello pipelines are mapped one-by-one to HighLevel opportunity stages. We capture stage sequence and probability from Fello and reapply them to the corresponding HighLevel stage. Stage-entered timestamps are preserved as custom datetime fields for historical reporting continuity.

Fello

Contact Tag

maps to

HighLevel

Contact Tag

1:1
Fully supported

Fello contact tags transfer as HighLevel contact tags. Tags are preserved as comma-separated values in a HighLevel tag field. If tags represent complex behavioral segments, they can be used to trigger HighLevel workflow conditions after migration. We recommend auditing tag names before migration to avoid duplicates and to consolidate similar segments into a consistent taxonomy that works well in HighLevel's workflow builder.

Fello

Activity / Engagement Log

maps to

HighLevel

Task

1:1
Fully supported

Fello engagement events (email opens, link clicks, outreach sent) map to HighLevel Tasks with Type set to reflect the engagement type. Original timestamps and associated contact links are preserved. HighLevel's activity feed then shows the full engagement history on each contact record.

Fello

Home Value Report data

maps to

HighLevel

Custom Object: Property field (estimated_value)

1:1
Fully supported

Fello's bi-weekly Home Value Report generates estimated property values per contact. We extract the latest estimated value and report date, then write them to the estimated_value and last_valuation_date fields on the Property custom object, linked to the originating Contact. If multiple valuations exist over time, we store the most recent value while archiving older entries as a JSON log for compliance and historical analysis.

Fello

Contact custom properties (Fello Growth and Scale tiers)

maps to

HighLevel

Contact custom fields

1:1
Fully supported

Fello Growth and Scale plans allow custom properties per contact. We audit all active custom properties from Fello and create corresponding custom fields in HighLevel before migration. Field data types are matched — text to text, number to number, date to date — and pick-list values are mapped individually.

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.

Fello logo

Fello gotchas

High

No public API — all data export is CSV only

Medium

Automation workflows must be manually rebuilt

Low

Contact export requires filtering before export job

Medium

Lead score is Fello-computed and proprietary

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

  • Property data requires a custom object setup in HighLevel

    Fello stores real estate property data (listing address, estimated value, days on market, listing status) as contact-level fields or associated records. HighLevel has no native real estate property object — the closest native construct is the Company object. We create a Property custom object in HighLevel with fields for address, estimated_value, listing_status, and last_valuation_date. The Property object is then linked to the Contact via a one-to-many relationship. This schema must be created in HighLevel before data lands, and the relationship field must be populated during migration. If your Fello setup stores property data differently (e.g., multiple properties per contact), we surface the specific relationship model before migration runs and configure junction handling accordingly.

  • Fello automations do not migrate and must be rebuilt

    Fello Smart Workflows handle bi-weekly Home Value Report distribution, outreach triggers based on lead score thresholds, and TCPA consent collection sequences. HighLevel has no import path for Fello automations — the automation logic must be rebuilt in HighLevel's Workflow Builder from scratch. We export Fello workflow definitions as a structured reference document during pre-migration audit so your HighLevel admin has a rebuild blueprint. HighLevel's Workflow Builder supports more complex conditional logic than Fello's Smart Workflows, so most automations will need redesign rather than literal translation.

  • HighLevel API rate limits constrain bulk import throughput

    HighLevel sub-accounts are capped at 200,000 API requests per day and 100 requests per 10 seconds. For Fello migrations with more than 5,000 contacts, bulk import through the HighLevel API requires throttling to avoid 429 errors. We manage import batch sizing and introduce configurable delay windows between requests to stay within HighLevel's rate limits without extending migration time significantly. Migrations exceeding 50,000 records may require multiple sub-account imports or an off-peak scheduling window.

  • Fello's contact tier limits affect how we size the HighLevel plan

    Fello Starter caps contacts at 3,000; Growth at 10,000; Scale at unlimited. If your Fello account is near its tier limit, migrating to HighLevel's unlimited-contact Starter plan eliminates per-contact billing. However, HighLevel sub-accounts carry their own API rate limits (200,000 requests/day). For high-volume Fello accounts (above 50,000 contacts), we recommend splitting the migration across multiple HighLevel sub-accounts or scheduling during a low-traffic window. The size of your Fello export is the primary driver of migration cost and timeline.

  • Multi-company contact associations need junction object handling

    Fello allows a single contact to associate with multiple company records (e.g., a listing agent linked to their brokerage and to a property owner entity). HighLevel's native contact model links a contact to one primary company, with additional companies handled via Company Contact Relationships or a custom junction object. We set the most recently active Fello company as the primary Company link in HighLevel and surface remaining associations as a custom multi-select or junction table for admin review. Teams with complex many-to-many contact-company relationships should plan this mapping review before migration day.

Migration approach

Six steps for a successful Fello to HighLevel data migration

  1. Pre-migration audit of Fello data model

    We export the complete Fello contact database via CSV from the Contacts module and the Settings > Import & Export panel. Our team audits all standard fields, custom properties, and tag structures. We identify property records embedded as contact fields, count multi-company associations, and list all active Smart Workflows with their trigger conditions and actions. This audit produces a Field Inventory Report used to plan the HighLevel schema creation step and to generate the workflow rebuild reference document.

  2. Build HighLevel schema and custom objects

    Before any data moves, we create the Property custom object in HighLevel with fields for address, estimated_value, listing_status, days_on_market, and last_valuation_date. We create lead_score and tcpa_consent_date custom fields on the Contact object. We configure the HighLevel pipelines and stages to match the Fello pipeline structure, setting probability values per stage. All schema elements are reviewed with your team before migration runs to ensure the HighLevel side is correctly structured.

  3. Owner resolution and tag audit

    We match Fello owner email addresses against HighLevel user email addresses. Unmatched owners are flagged in a pre-migration report so your team either invites them to HighLevel or assigns a fallback owner. We also audit Fello tag taxonomy and map tag names to HighLevel tag equivalents. Tags representing complex behavioral segments are flagged for potential conversion to HighLevel workflow triggers post-migration.

  4. Sample migration with field-level diff

    We run a sample migration using a representative slice of 100-500 Fello records spanning contacts with property data, deals in multiple pipelines, and engagement logs. We generate a field-level diff report comparing source values against destination values so you can verify that lead scores, estimated home values, pipeline stages, and contact tags all landed correctly before the full run commits.

  5. Full migration with delta-pickup and validation

    The full Fello dataset migrates to HighLevel using batched API calls throttled to HighLevel's rate limits. A 24-48 hour delta-pickup window captures any new contacts or modified records created in Fello during the migration window. We run record-count validation, sample field checks on migrated data, and generate a final migration summary report. FlitStack AI retains an audit log of every operation for 30 days post-migration.

Platform deep dives

Context on both ends of the pair

Fello logo

Fello

Source

Strengths

  • Generates seller leads from existing CRM contacts using AI scoring rather than requiring new lead acquisition.
  • Built-in TCPA compliance for automated calling and texting reduces legal exposure for real estate agents.
  • Seamless CRM integration layer means agents do not abandon their existing contact management workflow.
  • High G2 rating (4.9/5) with 94% five-star reviews reflecting strong user satisfaction and ease of use.
  • Two-week guided onboarding with a dedicated advisor reduces time from signup to first pipeline activity.

Weaknesses

  • No public API documentation found; all data export is CSV-based and requires manual download or export-job download link processing.
  • Automation workflows cannot be transferred programmatically and must be manually rebuilt at the destination, per Fello's own support documentation.
  • Narrowly scoped to real estate agent use cases; teams in other verticals have no path forward within the platform.
  • Platform functions as a CRM overlay, so it has no value without an existing populated CRM database to enrich.
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. 1 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 Fello and HighLevel.

  • Object compatibility

    B

    1 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

    Fello: Not publicly published..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Fello 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 Fello to HighLevel data migrations

Answers to the questions buyers ask most during Fello 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 Fello to HighLevel migrations complete within 24-48 hours for under 5,000 contacts with a standard Fello CSV export. Larger migrations exceeding 50,000 records, multiple property records per contact, or custom object setups requiring HighLevel schema creation extend to 5-10 days. The longest step is building the HighLevel custom object schema for property data before the first record migrates. During this time, we also run a sample validation to ensure field mapping accuracy before committing the full dataset.

Adjacent paths

Related migrations to explore

Ready when you are

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