CRM migration

Migrate from Lofty to Odoo CRM

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

Lofty logo

Lofty

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

100%

11 of 11

objects map 1:1 between Lofty and Odoo CRM.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Teams migrate from Lofty to Odoo CRM when they want the flexibility of an open-source ERP with integrated CRM, or when their brokerage's needs have expanded beyond Lofty's real-estate-specific feature set. Odoo CRM models leads and opportunities in a single crm.lead object that can transition between 'New' and 'Opportunity' states, unlike Lofty which separates Leads and Transactions as distinct record types. The migration carries everything Lofty stores natively — leads, contacts, companies, transactions/deals, agents, teams, and custom fields — into Odoo's crm.lead, res.partner, and product.product models. The harder problems are mapping Lofty's transaction/deal pipeline stages to Odoo's crm.stage kanban stages, resolving Lofty agent IDs to Odoo res.users records by email, and handling Lofty's extensive custom field library (up to 350 fields across 6 data types) which requires Odoo custom field creation. FlitStack sequences the migration so foreign-key dependencies resolve correctly: companies → contacts, then agents → owner assignments, then transactions/deals with stage mapping — followed by a sample migration with field-level diff before the full run. Workflows, automations, and AI features from Lofty do not transfer; FlitStack exports definitions as rebuild references for your Odoo administrator.

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

Odoo CRM logo

Odoo CRM

What's pulling them in

  • Teams choose Odoo CRM for its modular architecture — one base install with one-click app additions means they can adopt CRM alone and add accounting, inventory, or sales later as the business grows.
  • Small businesses pick Odoo because the Community edition is free and open-source, with no per-user or contact limits, allowing full evaluation before committing to a paid Enterprise tier.
  • The drag-and-drop Kanban pipeline and AI lead scoring are highlighted across G2 reviews as concrete features that make lead management faster and more visual than spreadsheet-based workflows.
  • Odoo's native integration with email, live chat, SMS, VoIP, and WhatsApp means inbound leads from multiple channels feed into a single pipeline without third-party middleware.
  • Companies in retail, supply chain, and construction value that Odoo's CRM module shares the same PostgreSQL database and UI as its ERP modules, eliminating data silos between sales and operations.

Object mapping

How Lofty objects map to Odoo CRM

Each row shows how a Lofty object lands in Odoo CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Lofty

Lead (People)

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Lofty leads map directly to Odoo crm.lead records. The crm.lead type field distinguishes between 'lead' and 'opportunity' states. Lofty lead status (New, Contacted, Qualified, etc.) maps to Odoo stage_id values. Original create dates preserved in crm.lead.create_date or a custom field.

Lofty

Transaction

maps to

Odoo CRM

crm.lead (Opportunity)

1:1
Fully supported

Lofty transactions are deal records that map to Odoo crm.lead in 'Opportunity' state. Lofty's deal amount, close date, and stage map to planned_revenue, date_deadline, and stage_id respectively. The crm.lead partner_id links to the primary contact from the original transaction, maintaining the relationship between deals and their associated contacts.

Lofty

Agent

maps to

Odoo CRM

res.users

1:1
Fully supported

Lofty agents map to Odoo res.users by email address match. Agent names become user names, and agent email becomes the Odoo login credential. User groups_id determines CRM access level (Sales, Manager, Administrator). Unmatched agents are flagged for team invitation or fallback assignment to a default user.

Lofty

Team

maps to

Odoo CRM

crm.team

1:1
Fully supported

Lofty teams map to Odoo crm.team records. Each Odoo team has its own pipeline stages defined in crm.stage with team_id scoped to that specific team. Lofty agents assigned to a team receive crm.team membership in Odoo via res.users belongs_to teams relationship.

Lofty

Company

maps to

Odoo CRM

res.partner

1:1
Fully supported

Lofty company records (if any) map to Odoo res.partner with is_company=True set. Parent-child relationships between companies in Lofty translate to parent_id on the res.partner records. Contact records link to their parent company through that same parent_id field when a company exists in the source data.

Lofty

Property/Listing

maps to

Odoo CRM

product.product

1:1
Fully supported

Lofty property records map to Odoo product.product for real estate listings. Property name becomes product name, listing type becomes product category (categ_id), price maps to list_price, and property details become description fields. Bedrooms, bathrooms, and square footage become custom fields on the product record.

Lofty

Tag

maps to

Odoo CRM

crm.tag

1:1
Fully supported

Lofty tags on leads and transactions map to Odoo crm.tag records. Tags on crm.lead use the tag_ids many2many field for assignment. Multi-tag assignments on a single Lofty record create multiple tag_ids entries on the corresponding Odoo crm.lead, preserving all categorization from the source.

Lofty

Note/Activity Log

maps to

Odoo CRM

mail.message

1:1
Fully supported

Lofty note entries map to Odoo mail.message records on the related crm.lead. Original timestamps and author (agent) information is preserved through the migration. Activity logs including calls and meetings map to mail.activity with activity_type_id distinguishing between different interaction types.

Lofty

Lead Source

maps to

Odoo CRM

source_id (channel_id)

1:1
Fully supported

Lofty lead source values (Website, Referral, Zillow, Realtor.com, etc.) map to Odoo utm.source records via crm.lead source_id field. Each unique Lofty source string creates a corresponding utm.source record in Odoo for accurate attribution reporting. Leads without a source receive a default utm.source assignment.

Lofty

Custom Fields (All Types)

maps to

Odoo CRM

ir.model.fields (custom)

1:1
Fully supported

Lofty custom fields require Odoo custom field creation before migration begins. Text fields map to char or text depending on length constraints. Number fields map to float or integer types based on precision needs. Single-select maps to selection or many2one referencing a dedicated model. Multi-select maps to char (comma-separated) or many2many — your admin chooses the preferred storage approach.

Lofty

Attachment/File

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

Lofty file attachments on leads and transactions migrate to Odoo ir.attachment records linked to the crm.lead via res_model and res_id reference fields. Files are re-uploaded to Odoo's filestore during migration. File size limits apply per Odoo configuration settings with a default maximum of 25MB per file upload.

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

Odoo CRM logo

Odoo CRM gotchas

High

Odoo.sh version gating blocks assisted migrations from trial

High

Enterprise modules fail to install on Community after database restore

Medium

Custom module view inheritance breaks between Odoo major versions

Medium

Custom fields risk losing their application context on Community

Low

API access for Community is gated behind the Custom Plan

Pair-specific challenges

  • Lofty's 90-day API date-range cap fragments large dataset extraction

    Lofty's Open API v2.0 enforces a maximum 90-day window between start and end date parameters when querying leads, transactions, or activities. For migrations with multi-year histories, this means FlitStack must issue multiple sequential API requests per object, each capturing a 90-day slice and stitching the results together. The stitched export preserves all records but requires careful pagination handling to avoid gaps at slice boundaries. Skipping this step produces incomplete historical data in Odoo.

  • Lofty's multi-select custom fields need Odoo custom field design decisions before migration

    Lofty's multi-select custom fields allow multiple values per record (e.g., a lead tagged with 'First-Time Buyer', 'Pre-Approved', 'Investor'). Odoo has no native multi-select field type — options include a char field storing comma-separated values, a many2many to a dedicated selection model, or a custom widget. FlitStack surfaces the multi-select fields in the migration plan and your Odoo admin chooses the preferred storage pattern before data lands. The wrong choice after migration requires data correction.

  • Lofty's transaction pipeline stages require per-team Odoo stage configuration

    Lofty teams each have their own transaction stage configurations (Active, Under Contract, Closed Won, Closed Lost, etc.) that vary by team. In Odoo, crm.stage records are scoped to crm.team via the team_id field — meaning each Lofty team needs its own distinct set of stages defined in Odoo before transactions migrate. If teams share stage records in Odoo, stage visibility rules (is_won, legend_priority, on_change_state) need careful configuration to replicate Lofty's per-team behavior accurately.

  • Lofty's 64-bit integer IDs risk silent precision loss in JavaScript-based integrations

    Lofty entity IDs are documented as 64-bit integers, which exceed JavaScript's safe integer range (2^53-1). This means Lofty IDs can silently corrupt when processed in JS environments without explicit BigInt handling or string coercion. FlitStack's migration engine uses BigInt or string coercion for all ID operations during extraction, but downstream JavaScript-based integrations that consume Odoo records with Lofty-sourced IDs should store and process those IDs as strings to maintain accuracy.

  • Odoo Community lacks the External API by default — only Custom Plan includes it

    Odoo's External API (XML-RPC) is free for all customers on the Custom Plan but is not available on standard Odoo Online or Community without it. If your Odoo instance is on Community without the Custom Plan upgrade, FlitStack uses Odoo's native import/export interface (CSV/XLS) instead of API calls. The data integrity and sequencing are the same, but bulk record counts per import batch are constrained by the interface rather than API rate limits.

Migration approach

Six steps for a successful Lofty to Odoo CRM data migration

  1. Extract Lofty data with 90-day window stitching

    FlitStack queries Lofty's API in sequential 90-day slices for each object type (leads, transactions, agents, teams, notes). Each slice captures full metadata including lofty_id, create_date, write_date, and owner agent_id. The slices are merged into a single de-duplicated dataset before field mapping begins. Any records with a lofty_id already seen in a prior slice are flagged for review to prevent duplicate imports.

  2. Resolve agents and teams by email match

    Lofty agent emails are matched against existing Odoo res.users records by login field. Unmatched agents are flagged for team invitation or fallback assignment to a default user. Teams are matched by name to existing Odoo crm.team records, with new team creation if no match exists. The resolved user IDs are cached for use as owner assignments on all subsequent record imports.

  3. Create Odoo custom fields and stage pipelines

    Before any data lands, FlitStack delivers a custom field creation plan listing every Lofty custom field, its Lofty data type, and the recommended Odoo field type. For multi-select fields, the plan includes the storage option your admin selects. Simultaneously, a stage-pipeline plan maps each Lofty team + transaction stage combination to the corresponding Odoo crm.team and crm.stage records. Your Odoo admin creates these before the sample migration runs.

  4. Run sample migration with field-level diff

    A representative slice of 100–500 records (mix of leads, transactions, and properties) migrates first using Odoo's import interface or XML-RPC depending on your plan tier. FlitStack generates a field-level diff comparing source values from Lofty against destination values in Odoo, including custom field values, owner assignments, and stage mappings. You verify the diff before the full run commits to production.

  5. Execute full migration with delta pickup window

    The full migration runs with Odoo in read-only mode to prevent conflicts during data import. A delta-pickup window (typically 24–48 hours) captures any new records or modifications made in Lofty during the migration window. FlitStack's audit log records every operation for traceability, and one-click rollback is available if reconciliation identifies data integrity issues at the end of the run.

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.
Odoo CRM logo

Odoo CRM

Destination

Strengths

  • Modular open-source architecture lets teams start with CRM and add ERP apps as needs grow, all sharing one PostgreSQL database.
  • Free Community edition with no contact limits and full source code access means zero licensing cost for evaluation and small deployments.
  • Drag-and-drop Kanban pipeline with AI lead scoring gives a visual, prioritized view of the sales funnel without requiring custom configuration.
  • Native integrations with email, live chat, SMS, VoIP, WhatsApp, and social media feed all inbound leads into a single unified inbox.
  • Active Odoo Community Association (OCA) maintains dozens of community-maintained modules on GitHub for extended functionality.

Weaknesses

  • Gmail and email integration reliability is a recurring complaint — threads drop and conversations scatter across inboxes, disrupting sales team workflows.
  • Enterprise edition pricing stacks quickly: multiple apps at per-user rates ($25–$50/user/month) plus Odoo.sh hosting costs more than many SMBs anticipate.
  • Setup and configuration complexity increases significantly once custom fields, automation rules, and multiple installed modules are in play.
  • Odoo.sh trial databases run on a version (e.g., 18.3) that is not directly migratable to Odoo.sh, blocking the assisted migration path Odoo advertises.
  • Version upgrades between major Odoo releases (e.g., 17→18) frequently break custom module view definitions and XPath expressions, requiring manual remediation.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 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 Odoo CRM.

  • Object compatibility

    B

    1 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 Odoo CRM 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 Odoo CRM data migrations

Answers to the questions buyers ask most during Lofty to Odoo CRM 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-Odoo CRM migrations complete within 48–72 hours for under 25,000 records. Larger datasets exceeding 250,000 records or setups with heavy custom field usage (200+ fields) extend to 5–7 days. The longest phase is usually the Lofty API extraction using 90-day window stitching for multi-year histories, followed by Odoo-side custom field creation before data lands in the destination system.

Adjacent paths

Related migrations to explore

Ready when you are

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