CRM migration

Migrate from Fello to Pipedrive

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

Fello logo

Fello

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

12 of 12

objects map 1:1 between Fello and Pipedrive.

Complexity

BStandard

Timeline

24–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How Fello objects map to Pipedrive

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

maps to

Pipedrive

Person

1:1
Fully supported

Fello 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

maps to

Pipedrive

Organization + custom field

1:1
Fully supported

Fello'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

maps to

Pipedrive

Person-Organization link

1:1
Fully supported

Fello 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

maps to

Pipedrive

Custom field on Person

1:1
Fully supported

Fello'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

maps to

Pipedrive

Custom field on Organization

1:1
Fully supported

Fello'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

maps to

Pipedrive

Custom field on Person

1:1
Fully supported

Fello 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

maps to

Pipedrive

Custom field on Person

1:1
Fully supported

Fello'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

maps to

Pipedrive

Deal

1:1
Fully supported

Fello 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)

maps to

Pipedrive

Activity

1:1
Fully supported

Fello 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

maps to

Pipedrive

Workflow Automation

1:1
Fully supported

Fello 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

maps to

Pipedrive

User

1:1
Fully supported

Fello 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)

maps to

Pipedrive

Custom field or separate object

1:1
Fully supported

Fello 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.

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

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • Fello's listing-propensity AI scores have no Pipedrive native equivalent

    Fello's core differentiator is its AI listing-propensity score that predicts when a contact is likely to sell. Pipedrive has no native scoring field — the score migrates as a custom Number field (Listing_Propensity_Score__c) but Pipedrive's automation triggers cannot reference this score out of the box. Teams using Fello's score to drive outreach automations must rebuild those triggers in Pipedrive's Workflow Automation using field-update conditions. The score itself migrates correctly; the automation logic does not.

  • Property associations require non-standard Organization modeling in Pipedrive

    Fello natively links contacts to properties with role labels (owner, buyer, prospect). Pipedrive has no property object and no native role-labeling on Person-Organization links. We handle this by creating Organization records for each unique property address and linking them to the Person. Property details (value estimate, bedrooms, bathrooms, ownership tenure) become custom fields on the Organization. Pipedrive admins must decide whether to display property data on the Person record via linked Organization or rely on the Organization list view — both are valid but neither is native to Fello's UX.

  • Fello Smart Workflows and sequences do not transfer to Pipedrive

    Fello's automation engine triggers outreach based on listing-propensity score thresholds, property changes, and engagement signals. Pipedrive's Workflow Automation and Sequences features provide equivalent functionality but require manual rebuilding. FlitStack exports Fello automation definitions as a structured JSON document listing trigger conditions, filter rules, and action sequences — your Pipedrive admin uses this as a rebuild specification. This is not a limitation of the migration tool; it's a fundamental difference in how automation logic is stored between platforms.

  • TCPA consent tracking is Fello-specific and requires custom Pipedrive fields

    Fello embeds TCPA consent status and capture timestamp directly in the contact record, with the Proof of Consent feature capturing written consent at form submission. Pipedrive has no native TCPA consent field — consent status migrates to TCPA_Consent__c (checkbox) and TCPA_Consent_Date__c (date) custom fields on Person. Pipedrive's marketing status field is a different concept (opt-out for campaigns) and cannot substitute for the legal-consent tracking Fello provides. Your team must configure Pipedrive's marketing preferences to reference these custom fields if TCPA compliance is required.

  • Fello's per-seat contact-limit pricing vs Pipedrive's unlimited contacts creates billing-model mismatch

    Fello bills by contact limit per tier (Starter 3,000, Growth 10,000, Scale custom). Pipedrive bills per user with unlimited contacts on all plans. For teams with large Fello databases and small sales teams, Pipedrive's model offers cost savings. However, Pipedrive's per-user pricing means adding new agents increases cost regardless of database size — the opposite of Fello's model. The migration itself preserves all contact records; the billing-model shift is a go-forward commercial decision, not a data limitation.

Migration approach

Six steps for a successful Fello to Pipedrive data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

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.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 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 Pipedrive.

  • Object compatibility

    B

    3 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 Pipedrive 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 Pipedrive data migrations

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

Can't find your answer?

Walk through your Fello to Pipedrive migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Fello-to-Pipedrive migrations complete within 24-72 hours for under 50,000 records. Complex setups with 100,000+ records, extensive property-linked contacts, and heavy activity history extend to 3-5 days. The longest planning step is building the Organization-Property mapping plan and verifying custom field creation in Pipedrive before data moves. Additional planning time of 2-3 days is typical before migration execution begins. Delta pickup adds 24-48 hours after initial import to capture any records created or modified during cutover.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Fello.
Land in Pipedrive, intact.

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