CRM migration

Migrate from Lofty to Freshsales

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

Lofty logo

Lofty

Source

Freshsales

Destination

Freshsales logo

Compatibility

100%

10 of 10

objects map 1:1 between Lofty and Freshsales.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Lofty is a real estate–centric CRM built around agents, leads, and property-related pipeline stages. Freshsales is a general SMB CRM that organizes data around Leads, Contacts, Accounts, and Opportunities with lifecycle stage tracking and Freddy AI scoring on Pro and above. The two platforms share a contact-centric model, but Lofty's agent-assignment paradigm, real estate pipeline stages, and tag/segment taxonomy do not map directly to Freshsales' standard objects. FlitStack AI extracts Lofty data via its REST API v2.0 — handling the 90-day pagination window for large datasets — and loads it into Freshsales via the Contacts API, Accounts API, and Opportunities API, matching owners by email. Lofty workflows, automation rules, and sequence configurations do not transfer and must be rebuilt in Freshsales' Workflows module. Custom fields translate field-by-field with type-aware mapping. A sample migration with field-level diff runs first so you can verify deal stage mapping and owner resolution before the full 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

Lofty logo

Lofty

What's pushing teams away

  • Poor customer support with significant delays and unhelpful responses during critical issues drives frustration and churn.
  • Steep learning curve overwhelms new users — the extensive functionality requires formal training before teams feel productive.
  • Inconsistent AI performance and slow platform speed frustrate users who rely on automation for lead follow-up.
  • Missing features like WordPress CMS integration and inadequate AI capabilities prompt teams to seek alternatives.
  • Some users report reliability concerns, with one stating 'everything is broken' and questioning ongoing development.

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 Lofty objects map to Freshsales

Each row shows how a Lofty 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.

Lofty

People / Contact

maps to

Freshsales

Contact

1:1
Fully supported

Lofty People records are migrated directly to Freshsales Contacts, using email as the primary deduplication key. Standard fields such as phone, mobile, job title, and address transfer as‑is, and any custom fields are created in Freshsales before load. People lacking a linked Company become unlinked Contacts, while owner assignment is resolved by email matching to Freshsales users.

Lofty

Lead (Lofty inbound)

maps to

Freshsales

Lead

1:1
Fully supported

Lofty inbound Leads are migrated to Freshsales Leads when they have not yet been converted to People. The Lead Source, Lead Status, and any custom fields are transferred directly, and owner resolution is performed by matching the agent email to a Freshsales user. Leads that share an email with an existing People record are reconciled to the Contact deduplication key, preventing duplicate Contact creation during migration.

Lofty

Company

maps to

Freshsales

Account

1:1
Fully supported

Lofty Company records become Freshsales Accounts with direct transfer of name, website/domain, industry, employee count, and annual revenue. Billing address components such as street, city, state, and country map to the Account's billing address fields. Parent‑child hierarchies are resolved by creating the parent Account first and then linking child Accounts via the Parent Account lookup; any circular references are flagged for manual review.

Lofty

Deal / Pipeline Stage

maps to

Freshsales

Opportunity + Deal (Freshsales)

1:1
Fully supported

Lofty Deals map to Freshsales Opportunities with deal name → Opportunity Name, amount → Amount, close date → Close Date, and pipeline stage → deal status. Freshsales pipeline and stage names are configured to match Lofty's stage labels. Each Lofty pipeline maps to one Freshsales pipeline.

Lofty

Pipeline Stage

maps to

Freshsales

Deal Status (Freshsales)

1:1
Fully supported

Each Lofty pipeline stage label (e.g., Showing Scheduled, Offer Made, Under Contract) is assigned a corresponding Freshsales deal status value in the matching pipeline. During migration, FlitStack creates the Freshsales pipeline with the same name and configures each stage with an explicit probability and forecast category. Stages that have no exact counterpart are created as custom status values, ensuring no deal loses its original workflow classification.

Lofty

Lifecycle Stage

maps to

Freshsales

Lifecycle Stage (Freshsales Contact)

1:1
Fully supported

Lofty lifecycle stage values are translated into Freshsales Lifecycle Stage pick‑list entries on the Contact record on a one‑to‑one basis. For example, Lofty's Active Lead maps to Freshsales Lead, while Client maps to Customer, and other states follow the same logic. If a Lofty lifecycle value has no matching Freshsales option, FlitStack creates a custom pick‑list entry so that no contact loses its original status after migration.

Lofty

Custom Field (text, number, currency, date, picklist)

maps to

Freshsales

Custom Field

1:1
Fully supported

Lofty custom fields on People, Companies, and Deals are reproduced in Freshsales as custom fields on the matching objects. FlitStack pre‑creates each field in Freshsales using the same data type—currency fields become Freshsales Currency, single‑select become Picklist, and multi‑select become Multi‑select. Default values, pick‑list options, and field help text are also transferred where present, ensuring consistency across the schema.

Lofty

Activity (call, email, meeting, note)

maps to

Freshsales

Sales Activity

1:1
Fully supported

Lofty communication activities are migrated as follows: calls and emails become Freshsales Sales Activities with the Type field set to Call or Email, preserving the original date and duration where available. Meetings are transferred to Freshsales Meetings, retaining start time, end time, location, and any custom fields. Notes are moved to Freshsales Notes with their original timestamps, and the owning user is resolved by email matching to a Freshsales user, ensuring attribution in reporting.

Lofty

Tag / Segment

maps to

Freshsales

Custom Field (multi-select) or Territory

1:1
Fully supported

Lofty tags are migrated as a custom multi‑select field on the Contact record, preserving each tag as an option. Because Freshsales lacks a native tag taxonomy, the tag field does not appear in standard list views but is filterable via custom reports. Lofty segments that encode geographic regions or team assignments are translated into Freshsales Territory rules where supported; dynamic segment logic must be rebuilt as Freshsales Workflows after migration.

Lofty

Agent / Owner

maps to

Freshsales

User (Owner)

1:1
Fully supported

Lofty agents map to Freshsales users matched by email address. If a Lofty agent has no matching Freshsales user, records are assigned to a fallback owner or a placeholder User record is created. Agent-level permissions do not transfer — Freshsales profile and role assignments are configured separately.

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.

Lofty logo

Lofty gotchas

High

API date-range queries capped at 90 days

Medium

64-bit integer IDs risk JavaScript precision loss

Medium

Starter tier custom field cap breaks complex schemas

High

Data export requires $500 fee unless handled during subscription

Low

Documentation site migration disrupts integration references

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

  • Lofty API 90-day pagination window forces chunked extraction for large datasets

    Lofty's REST API v2.0 enforces a constraint where the range between start and end query parameters must not exceed 90 days. For migrations with multi-year history, this means FlitStack must paginate in 90-day windows and stitch records back together before loading into Freshsales. The 64-bit integer entity IDs are preserved throughout to prevent JavaScript precision loss during the chunking process, and duplicate records are deduplicated against the source system ID before the final load.

  • Lofty tag/segment taxonomy has no native Freshsales equivalent

    Lofty's tagging system and segment definitions are a core organizing principle for real estate teams. Freshsales does not have a native tag taxonomy; instead it relies on lifecycle stage, territory rules, and custom fields for segmentation. We migrate Lofty tags as a custom multi-select field on the Contact record, but Freshsales' filtering and reporting are not tag-native. Segments that represent geographic or team groupings are mapped to Freshsales Territory rules where the platform supports it, and any segment logic that relies on dynamic rule evaluation must be rebuilt as Freshsales Workflows.

  • Lofty workflows and automation do not transfer and must be rebuilt

    Like all FlitStack migrations, Lofty automation rules — including trigger-based actions tied to pipeline stage changes, showing events, and offer status — do not migrate. They must be rebuilt in Freshsales' Workflows module. We provide a structured export of your Lofty automation definitions so your Freshsales admin has a rebuild reference, but the migration itself handles data only. Any Zapier or third-party integrations connected to Lofty webhooks will also need to be reconfigured against Freshsales endpoints.

  • Lofty's per-agent pricing model creates no-billing equivalent in Freshsales

    Lofty bills per agent on the platform, which aligns with how real estate brokerages think about seat licensing. Freshsales bills per user on the CRM, but the agent-level permission model in Lofty — including team structures and broker-level oversight — does not have a direct Freshsales structural equivalent. After migration, your Freshsales admin should review profile and permission configurations to ensure broker oversight is handled via Freshsales Sharing rules or hierarchy-based sharing.

Migration approach

Six steps for a successful Lofty to Freshsales data migration

  1. Extract Lofty data via REST API v2.0 with 90-day chunking

    FlitStack connects to Lofty using OAuth 2.0 or API key credentials and begins extracting People, Companies, Deals, Leads, Activities, and custom field definitions. Because Lofty's API enforces a 90-day maximum query window, extraction runs in overlapping 90-day chunks for datasets spanning more than 90 days. All entity IDs are stored as strings to preserve the full 64-bit integer precision. The Lofty custom field schema (field names, data types, and pick-list values) is captured before record extraction so Freshsales custom fields can be pre-created with matching types.

  2. Pre-create Freshsales custom fields and configure pipelines

    Before records are loaded, FlitStack creates all required custom fields in Freshsales on the Lead, Contact, Account, and Opportunity objects using the Freshsales Custom Fields API. Pipeline names and stage definitions are configured to match Lofty's pipeline and stage labels as closely as possible. Owner resolution runs concurrently: Lofty agent emails are matched against Freshsales users, and unmatched agents are flagged so your team can either invite them to Freshsales or designate a fallback owner before the migration loads.

  3. Run a sample migration with field-level diff

    A representative slice — typically 100–500 records spanning Leads, Contacts, Accounts, Opportunities, and a few activity records — migrates into Freshsales first. FlitStack generates a field-level diff showing every source field, its destination value in Freshsales, and any transformation applied. You review the diff to confirm lifecycle stage mapping, deal status mapping, owner resolution, and custom field population before the full migration run is authorized.

  4. Execute full migration with delta-pickup window

    The full dataset loads into Freshsales via the Contacts, Accounts, and Opportunities API endpoints, with tag data written to the custom multi-select field. A delta-pickup window of 24–48 hours runs concurrently with your final days in Lofty, capturing any records created or modified during the cutover. After the delta window closes, a final reconciliation report compares record counts and field completeness against the Lofty source. FlitStack generates an audit log of every operation, and one-click rollback is available if reconciliation reveals data integrity issues.

Platform deep dives

Context on both ends of the pair

Lofty logo

Lofty

Source

Strengths

  • All-in-one real estate CRM combines lead gen, property tracking, landing pages, and AI tools.
  • Agent plan at $449/month is competitive for bundled functionality versus buying separate tools.
  • Enterprise tier offers custom branding, enhanced reporting, and flexible org structures for brokerages.
  • Positive reviews cite property auto-updates and seamless integrations saving agent time.
  • Supports OAuth 2.0 and API Key authentication for flexible third-party integrations.

Weaknesses

  • Steep learning curve requires formal training investment before teams become productive.
  • Customer support receives consistent negative reviews for responsiveness during critical issues.
  • Starter tier limited to 10 custom fields per type — insufficient for complex data models.
  • AI features described as inconsistent and slow in G2 reviews, affecting automation reliability.
  • Documentation site migration (moving to developer.lofty.com after August 2026) may disrupt integrations mid-migration.
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 Lofty 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

    Lofty: Not publicly documented on developer.lofty.com — we implement exponential backoff and respect 429 responses as rate limit signals.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Lofty 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 Lofty to Freshsales data migrations

Answers to the questions buyers ask most during Lofty 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 Lofty-to-Freshsales migrations complete in 48–72 hours of clock time for under 50,000 records when the sample migration is approved without major field-mapping revisions. Lofty datasets spanning multiple years require 90-day API chunking, which extends extraction time. Larger setups with 500,000+ records or heavy custom field counts extend to 5–7 days. Pre-creating Freshsales custom fields and pipelines before the sample run is the longest planning step.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Lofty.
Land in Freshsales, intact.

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