CRM migration
Field-level mapping, validation, and rollback between Fello and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Fello
Source
Pipedrive
Destination
Compatibility
12 of 12
objects map 1:1 between Fello and Pipedrive.
Complexity
BStandard
Timeline
24–72 hours
Overview
Fello's data model centers on real estate contacts enriched with AI listing-propensity scores, home value estimates, and TCPA consent tracking. The platform organizes contacts with property associations, engagement scores, and automated outreach triggered by listing-propensity thresholds. Pipedrive uses Persons, Organizations, and Deals as its core objects, with custom fields available on each. The migration must translate Fello's AI-enriched contact properties into Pipedrive custom fields, preserve property associations as Organization links on Person records, and handle Fello's consent tracking as a custom field since Pipedrive has no native marketing-contact billing distinction. We migrate all Persons with enrichment data, associated property records, active Deals with stage mapping, activity history with original timestamps, and Fello's owner assignments resolved by email match against Pipedrive users. Workflows and automations do not migrate — FlitStack exports Fello automation definitions as a rebuild reference for Pipedrive's Workflow Automation feature. The migration runs via Pipedrive's Bulk API and CSV import tools, with scoped read access on Fello so your team continues working uninterrupted 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 Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Fello
Contact
Pipedrive
Person
1:1Fello Contact maps directly to Pipedrive Person. Standard fields (name, email, phone, address) transfer as-is. Fello's AI enrichment fields (listing-propensity score, home value estimate, TCPA consent) migrate as Pipedrive custom fields on the Person record. Owner resolved by email match against Pipedrive users.
Fello
Property / Home Association
Pipedrive
Organization + custom field
1:1Fello's property associations (address, bedrooms, bathrooms, ownership timeline, value estimate) have no native equivalent in Pipedrive. We create Organization records for each unique property address and link them to the corresponding Person via the Person-Organization relationship. Property details stored as custom fields on the Organization.
Fello
Contact Role on Property
Pipedrive
Person-Organization link
1:1Fello role labels (owner, buyer, prospect) on contact-property associations map to a custom field on the Person-Organization link in Pipedrive. Since Pipedrive doesn't natively support role labels on Person-Org links, we create a 'Property_Role__c' custom field on the Organization to capture this relationship metadata.
Fello
Listing-Propensity Score
Pipedrive
Custom field on Person
1:1Fello's AI listing-propensity score (0-100) has no Pipedrive equivalent. We create a 'Listing_Propensity_Score__c' custom field of type Number on the Person object. Historical score data transfers and displays on the Person record. Score thresholds used in Fello automations must be recreated in Pipedrive's Workflow Automation with field-update triggers on this custom field.
Fello
Home Value Estimate
Pipedrive
Custom field on Organization
1:1Fello's estimated home value field transfers to a 'Estimated_Home_Value__c' custom currency field on the Organization record representing the property. Original valuation date migrates as 'Home_Value_Date__c' datetime field for reporting continuity and historical reference in future valuations.
Fello
TCPA Consent
Pipedrive
Custom field on Person
1:1Fello embeds TCPA consent status and capture date per contact. Pipedrive has no native consent tracking — we create 'TCPA_Consent__c' (checkbox) and 'TCPA_Consent_Date__c' (date) custom fields on Person. Pipedrive's marketing status field is not equivalent to TCPA consent; this migration preserves the compliance data for legal reference.
Fello
Engagement Score / Activity Level
Pipedrive
Custom field on Person
1:1Fello's engagement metrics (outreach count, response rate, last-contact date) become custom fields on Pipedrive Person: 'Engagement_Score__c' (Number), 'Last_Outreach__c' (Date). Pipedrive's Activity log provides engagement tracking natively going forward, but historical engagement data requires custom field storage since it predates the Pipedrive migration.
Fello
Deal / Listing Opportunity
Pipedrive
Deal
1:1Fello deals (listing opportunities, buyer offers) map to Pipedrive Deals with stage mapping configured during planning. Fello's deal stage names map value-by-value to Pipedrive Stage names within the target Pipeline. Deal value, close date, and owner transfer directly. Original create dates preserved via custom field since Pipedrive sets add_time at import.
Fello
Activity (Call, Email, Meeting, Note)
Pipedrive
Activity
1:1Fello activity history (calls logged, emails sent, meetings scheduled, notes attached) migrates as Pipedrive Activities. Activity type, subject, date, user assignment, and linked Person/Deal preserved with original timestamps. Fello's engagement signals used for automation triggers must be rebuilt in Pipedrive Workflow Automation since triggers do not transfer.
Fello
Workflow / Automation
Pipedrive
Workflow Automation
1:1Fello Smart Workflows and sequences do not transfer. FlitStack exports Fello automation definitions (trigger conditions, action sequences, filter rules) as a structured JSON document. Pipedrive Workflow Automation must be rebuilt using this export as the specification — this is a manual rebuild step requiring your Pipedrive admin.
Fello
User / Owner
Pipedrive
User
1:1Fello owner IDs resolved by email match against Pipedrive users during migration planning. Unmatched owners flagged before migration begins — your team either creates Pipedrive users first or assigns records to a fallback owner during import. No record lands without a valid Pipedrive owner assignment.
Fello
Custom Object (Enterprise)
Pipedrive
Custom field or separate object
1:1Fello Enterprise custom objects map to Pipedrive custom fields on Person, Organization, or Deal depending on the object's association. Pipedrive does not support custom objects structurally — complex Fello custom objects may require consultation on best Pipedrive representation, which could include multiple custom fields, separate object via API, or a third-party Marketplace solution.
| Fello | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Property / Home Association | Organization + custom field1:1 | Fully supported | |
| Contact Role on Property | Person-Organization link1:1 | Fully supported | |
| Listing-Propensity Score | Custom field on Person1:1 | Fully supported | |
| Home Value Estimate | Custom field on Organization1:1 | Fully supported | |
| TCPA Consent | Custom field on Person1:1 | Fully supported | |
| Engagement Score / Activity Level | Custom field on Person1:1 | Fully supported | |
| Deal / Listing Opportunity | Deal1:1 | Fully supported | |
| Activity (Call, Email, Meeting, Note) | Activity1:1 | Fully supported | |
| Workflow / Automation | Workflow Automation1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Custom Object (Enterprise) | Custom field or separate object1:1 | 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
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Extract Fello data and prepare custom fields in Pipedrive
FlitStack pulls all Person records with AI-enriched fields (listing-propensity score, home value estimate, TCPA consent, engagement metrics), all property association records, active Deals with stage data, and activity history. We analyze Fello's custom field schema and create matching custom fields in Pipedrive: Listing_Propensity_Score__c (Number), Estimated_Home_Value__c (Currency), TCPA_Consent__c (Checkbox), TCPA_Consent_Date__c (Date), and property-detail fields on Organization. Owner emails from Fello are matched against Pipedrive users to identify unresolved assignments before migration begins.
Create Organization records for Fello property associations
Fello's contact-property links have no direct Pipedrive equivalent, so we create Organization records for each unique property address identified in Fello's export. Property details (estimated value, bedrooms, bathrooms, ownership start date) are stored as custom fields on each Organization. The Organization is linked to the corresponding Person via Pipedrive's Person-Organization relationship. Property role labels from Fello (owner, buyer, prospect) are stored as Property_Role__c custom field on the Organization for reference.
Migrate Persons with enrichment data and deal history
Fello Persons migrate to Pipedrive Persons with all standard fields intact. AI-enriched fields (listing-propensity score, TCPA consent, engagement metrics) map to the custom fields created in step 1. Fello Deals migrate to Pipedrive Deals within the target pipeline, with stage names mapped value-by-value to matching Pipedrive stage IDs. Deal owners resolved by email match. Active deals retain their original create dates via custom fields since Pipedrive's add_time is set at import time. Activity history (calls, emails, meetings, notes) migrates with original timestamps and user assignments preserved.
Run sample migration with field-level verification
A representative sample (typically 100-500 records including contacts with high/low listing-propensity scores, property-linked contacts, and deals at various stages) migrates to Pipedrive in a test run. We generate a field-level diff comparing Fello source values against Pipedrive destination values for every mapped field. You verify custom field accuracy (scores, consent status, property values), Organization linkage correctness, deal stage mapping, and owner resolution before the full migration commits.
Full migration with delta pickup and audit logging
The full dataset migrates to Pipedrive via Bulk API and CSV import tools. A delta-pickup window (typically 24-48 hours after the initial export timestamp) captures any new records or modifications made in Fello during the cutover. FlitStack maintains an audit log of every record imported, including source system ID, destination record ID, import timestamp, and operator. One-click rollback reverts all imported records if reconciliation fails. Post-migration, we deliver an export of Fello automation definitions as a JSON document for your Pipedrive admin to use as a rebuild reference for Workflow Automation and Sequences.
Platform deep dives
Fello
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Pipedrive.
Object compatibility
3 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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