CRM migration
Field-level mapping, validation, and rollback between Fello and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Fello
Source
HighLevel
Destination
Compatibility
11 of 11
objects map 1:1 between Fello and HighLevel.
Complexity
BStandard
Timeline
24–48 hours
Overview
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.
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 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
HighLevel
Contact
1:1Fello 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)
HighLevel
Company
1:1Fello 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)
HighLevel
Custom Object: Property
1:1Fello 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
HighLevel
Contact custom field: lead_score (Number)
1:1Fello'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
HighLevel
Contact custom field: tcpa_consent_date (Date)
1:1Fello 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
HighLevel
Opportunity
1:1Fello 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
HighLevel
Opportunity Stage
1:1Stage 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
HighLevel
Contact Tag
1:1Fello 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
HighLevel
Task
1:1Fello 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
HighLevel
Custom Object: Property field (estimated_value)
1:1Fello'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)
HighLevel
Contact custom fields
1:1Fello 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.
| Fello | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company (real estate company) | Company1:1 | Fully supported | |
| Property Record (custom contact data) | Custom Object: Property1:1 | Fully supported | |
| Lead Score | Contact custom field: lead_score (Number)1:1 | Fully supported | |
| TCPA Consent | Contact custom field: tcpa_consent_date (Date)1:1 | Fully supported | |
| Deal / Pipeline | Opportunity1:1 | Fully supported | |
| Pipeline Stage | Opportunity Stage1:1 | Fully supported | |
| Contact Tag | Contact Tag1:1 | Fully supported | |
| Activity / Engagement Log | Task1:1 | Fully supported | |
| Home Value Report data | Custom Object: Property field (estimated_value)1:1 | Fully supported | |
| Contact custom properties (Fello Growth and Scale tiers) | Contact custom fields1:1 | 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.
Fello gotchas
No public API — all data export is CSV only
Automation workflows must be manually rebuilt
Contact export requires filtering before export job
Lead score is Fello-computed and proprietary
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
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.
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.
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.
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.
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
Fello
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 Fello 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
Fello: Not publicly published..
Data volume sensitivity
Fello 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
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