CRM migration

Migrate from Fello to Freshsales

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

Fello logo

Fello

Source

Freshsales

Destination

Freshsales logo

Compatibility

100%

12 of 12

objects map 1:1 between Fello and Freshsales.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Fello and Freshsales share the same core CRM objects — contacts, companies (accounts), and deals (opportunities) — but their domain orientation and field semantics differ enough that a naive export-import creates silent data loss. Fello's focus on real-estate lead intelligence means it stores home-value estimates, listing status, and seller-propensity scores that have no native Freshsales equivalent; those fields must be pre-created as custom fields before migration or the values disappear. Fello's AI-powered lead_score (0–100) is a native contact property across all Fello plans; Freshsales gates contact scoring behind the Freddy AI module on the Pro plan at $39/user/month, so a custom Number field is required to carry the historical score. Automations, outreach sequences, and workflow rules do not migrate between platforms — Freshsales' Automation and Sales Sequences must be rebuilt by your admin after go-live, and we export Fello's workflow definitions as a JSON reference bundle to support that rebuild. FlitStack AI connects to both platforms via API, sequences the migration so foreign keys resolve correctly (Accounts before Contacts, Contacts before Deals), runs a sample diff on 100–200 records, then executes the full migration with a 24–48 hour delta-pickup window to capture 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

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

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How Fello objects map to Freshsales

Each row shows how a Fello object lands in Freshsales, 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

Freshsales

Contact

1:1
Fully supported

Fello contacts migrate to Freshsales Contacts directly via a sequenced import process. Because Freshsales requires an Account record to exist before a Contact can link to it, all Fello companies are migrated to Freshsales Accounts first, establishing the foreign key dependencies before Contacts are imported. Fello contacts without a primary company association are flagged during pre-flight validation and land as unassigned Contacts in Freshsales, with their Fello record IDs preserved in Source_Record_ID__c for post-migration review and manual account assignment if needed.

Fello

Company

maps to

Freshsales

Account

1:1
Fully supported

Fello companies map to Freshsales Accounts using a direct name-to-name mapping. Parent-child company hierarchies in Fello map to Freshsales Parent Account lookups; circular references are flagged before migration commits. Multi-company associations on a Fello contact collapse to a primary Account in Freshsales with secondary associations handled via Account Contact Relationships.

Fello

Deal

maps to

Freshsales

Deal

1:1
Fully supported

Fello deals map directly to Freshsales Deals (Opportunities). The pipeline field maps to Freshsales Pipeline, and deal_stage values map via value_mapping to the corresponding Freshsales stage names. Deal owner resolved by email match against Freshsales agents; unmatched owners flagged before migration.

Fello

Pipeline

maps to

Freshsales

Pipeline

1:1
Fully supported

Fello pipelines translate 1:1 to Freshsales Pipelines. Each Fello pipeline needs to be pre-created in Freshsales with matching stage names before migration, because Freshsales requires Pipeline IDs to assign stage values. FlitStack delivers a pipeline-setup checklist as part of the pre-migration plan.

Fello

lead_score

maps to

Freshsales

Contact custom field: Lead_Score__c

1:1
Fully supported

Fello's AI lead_score (0–100 integer) is stored as a native contact property. Freshsales has no equivalent native field; we create a custom Number field (Lead_Score__c) on the Contact object. Note: Freshsales Freddy AI scoring on Pro overwrites the score unless scoring is disabled during migration — we flag this in the pre-flight checklist.

Fello

lifecycle_stage

maps to

Freshsales

Contact lifecycle_stage

1:1
Fully supported

Fello lifecycle stages (subscriber, lead, opportunity, customer) map to Freshsales lifecycle stages via value-by-value mapping. Fello stages and Freshsales stages are different in name and count, so each value must be explicitly mapped. Stage-transition timestamps from Fello are preserved as a custom datetime field (Stage_Updated_At__c) for reporting continuity.

Fello

home_value_estimate

maps to

Freshsales

Contact custom field: Home_Value_Estimate__c

1:1
Fully supported

Fello's home_value_estimate stores an estimated property value per contact. Freshsales has no native property-value field; we migrate this as a custom currency field on Contact. If Fello stores multiple estimates over time, the most recent value is used for migration, with historical values preserved in a JSON custom field if needed.

Fello

listing_status

maps to

Freshsales

Contact custom field: Listing_Status__c

1:1
Fully supported

Fello's listing_status (e.g., active, pending, sold, not-yet-listed) has no Freshsales equivalent. A custom pick-list field is created with the same values, or a custom text field if Fello uses open-text statuses. Value mapping handles cases where Fello uses freeform text that needs to be normalized to pick-list options.

Fello

Smart Workflow

maps to

Freshsales

Freshsales Automation / Sales Sequence

1:1
Fully supported

Fello Smart Workflows, outreach sequences, and automation rules do not migrate. Freshsales has its own Automation engine and Sales Sequences that must be rebuilt. We export the Fello workflow definitions as a structured JSON bundle so your Freshsales admin has a rebuild reference. Any Fello workflow that triggers on lead_score thresholds will need those thresholds re-implemented using the migrated Lead_Score__c custom field.

Fello

Activity / Engagement Log

maps to

Freshsales

Sales Activity

1:1
Fully supported

Fello engagement logs (calls, emails, meetings, notes) map to Freshsales Sales Activities. Original timestamps and activity owners are preserved. The activity_type field maps to Freshsales Sales Activity type values (call, email, meeting, note). Attachments are re-uploaded to Freshsales Files with original filenames retained.

Fello

Owner / Agent

maps to

Freshsales

User / Agent

1:1
Fully supported

Fello owner IDs are resolved to Freshsales agents by email match. Unmatched owners are flagged before migration; your team either creates Freshsales users for them first or assigns records to a fallback agent. Historical owner assignments on Deals and Activities are preserved so audit trails remain intact.

Fello

Custom Fields (real-estate specific)

maps to

Freshsales

Custom Fields on Contact / Account

1:1
Fully supported

Fello's real-estate custom fields — property_address, days_on_market, tcpa_consent_flag, homeowner_type — have no Freshsales native equivalents. Each is created as a custom field of the matching type (text, number, checkbox, pick-list) on Contact or Account before migration. A field-mapping checklist is delivered to your Freshsales admin for pre-creation.

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

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • Fello lead_score requires a custom field or Freddy AI overwrites it on Pro plans

    Fello's AI lead_score is a native contact property carrying a 0–100 integer across all Fello plans. Freshsales has no equivalent native field — the closest is Freddy AI contact scoring on the Pro plan at $39/user/month. If you migrate to Freshsales Pro and enable Freddy AI scoring after migration, Freshsales replaces the imported score with its own model output, destroying the historical Fello score. We create a custom Number field (Lead_Score__c) on Contact to hold the migrated Fello value and flag the Freddy AI scoring toggle in your Freshsales pre-flight checklist so your admin decides whether to enable AI scoring or keep the imported score as the source of truth.

  • Fello Smart Workflows do not migrate — they must be rebuilt in Freshsales

    Fello Smart Workflows and outreach sequences are platform-native automation constructs that have no structural equivalent in Freshsales Automation or Sales Sequences. Freshsales does not import or translate automation logic from external CRMs. We export your Fello workflow definitions as a structured JSON reference bundle and deliver a rebuild guide mapping each Fello trigger condition (e.g., lead_score threshold crossing, lifecycle stage change) to the corresponding Freshsales Automation trigger. Workflows that depend on Fello's home-enrichment data need re-evaluation since Freshsales does not natively store property addresses or home values.

  • Real-estate custom fields need pre-creation in Freshsales before migration

    Fello's real-estate domain fields — home_value_estimate, listing_status, property_address, days_on_market, tcpa_consent, homeowner_type — are not native Freshsales CRM fields. Freshsales allows custom fields on Contact, Account, and Deal objects, but those fields must exist before records land or the values are discarded during import. We deliver a field-creation checklist specifying the field type (text, number, currency, pick-list, checkbox) and pick-list values for each custom field. If your Freshsales plan limits custom fields (Growth caps custom fields), you need to upgrade or selectively migrate the most business-critical real-estate properties.

  • Fello lifecycle_stage to Freshsales lifecycle stage requires explicit value mapping

    Fello uses four lifecycle stages (subscriber, lead, opportunity, customer) while Freshsales uses six (Subscriber, Lead, MQL, SQL, Opportunity, Customer). The stages do not align in count or naming, so a naive CSV import defaults to blank Freshsales lifecycle stages for any Fello stage that does not exactly match a Freshsales value. We perform value-by-value mapping for all four Fello stages to their closest Freshsales equivalent, with a mapping table delivered in the pre-migration plan. Stage-transition timestamps are preserved in a custom datetime field (Stage_Updated_At__c) so reporting continuity is not lost even when the stage names differ.

  • Multi-company contact associations collapse to primary Account in Freshsales

    Fello supports N:N contact-to-company associations natively — a single Fello contact can be linked to multiple companies (e.g., a buyer's agent and a listing agent). Freshsales links a Contact to a single primary Account, with additional company associations handled through the Account Contact Relationships object. During migration, we select one primary company per contact (the most recently modified by default, or per your specified rule) and surface secondary company associations as Account Contact Relationships. We deliver a de-duplication report listing contacts that had multiple Fello company associations so you can review before the migration commits.

Migration approach

Six steps for a successful Fello to Freshsales data migration

  1. Audit Fello custom fields and Freshsales plan limits

    We export a full list of Fello contact, company, and deal custom fields including their data types and pick-list values. We compare that list against your Freshsales plan — Growth limits the number of custom fields per object, while Pro and Enterprise allow more. We deliver a gap report naming each Fello field that needs a Freshsales custom field pre-created, the field type to use, and the pick-list values to set. Your Freshsales admin creates those fields before we run validation, so no data is silently dropped on import.

  2. Pre-create Freshsales pipelines and lifecycle stages

    Fello pipeline names and stage values are mapped to Freshsales Pipelines and Stage pick-list values before any data moves. We deliver a pipeline-setup checklist naming each Fello pipeline, its stages, and the corresponding Freshsales Pipeline ID to create. The lifecycle stage value map is also applied at this step so Freshsales is ready to accept the mapped stage values during migration. Any mismatches between Fello stage names and Freshsales stage names are resolved in this step with explicit value-mapping rules.

  3. Resolve owners and validate user accounts

    Fello owner IDs are matched to Freshsales agents by email address. Unmatched owners are flagged with the owner name, email, and record count so your team can create Freshsales users for them first or decide on a fallback assignment rule. This step prevents records from landing in Freshsales without an Owner field, which would break assignment-based reports and routing rules. We also validate that the email addresses on Fello contacts match existing Freshsales users where applicable for cross-referencing.

  4. Run a sample migration with field-level diff on 100–200 records

    A representative slice — typically 100–200 records spanning contacts, companies, deals, and activities — is migrated first. We generate a field-level diff comparing each source field against its mapped destination value so you can verify lifecycle stage mapping, custom field population, and owner resolution before the full run commits. Any mapping errors surfaced in the sample are corrected before the full migration begins. You approve the sample diff sign-off before we proceed to the full run.

  5. Execute full migration with delta-pickup window

    The full migration runs accounts, then contacts, then deals — sequencing foreign key dependencies correctly so Freshsales does not reject records with missing Account lookups. A 24–48 hour delta-pickup window opens once the initial load completes, capturing any Fello records modified or created during the cutover window so Freshsales reflects your final Fello state at go-live. All record IDs, original create dates, owner assignments, and stage-transition timestamps are preserved. An audit log is delivered post-migration listing every record migrated, the mapping applied, and any records that failed with reason codes.

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.
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

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 Fello and Freshsales.

  • 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

    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 Freshsales 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 Freshsales data migrations

Answers to the questions buyers ask most during Fello to Freshsales 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-Freshsales migrations complete in 48–72 hours of clock time for datasets under 25,000 records. The longest single step is pre-creating Freshsales custom fields and pipelines — typically 1–2 days of admin work before we run any data. Larger migrations with 250,000+ records, multiple Fello pipelines, or heavy real-estate custom fields extend to 5–7 days. Fello onboarding data and outreach history add moderate volume but not significant schema complexity compared to enterprise CRM migrations.

Adjacent paths

Related migrations to explore

Ready when you are

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